model_id stringlengths 9 102 | model_card stringlengths 4 343k | model_labels listlengths 2 50.8k |
|---|---|---|
yainage90/fashion-object-detection | This model is fine-tuned version of microsoft/conditional-detr-resnet-50.
You can find details of model in this github repo -> [fashion-visual-search](https://github.com/yainage90/fashion-visual-search)
And you can find fashion image feature extractor model -> [yainage90/fashion-image-feature-extractor](https://huggi... | [
"bag",
"bottom",
"dress",
"hat",
"outer",
"shoes",
"top"
] |
hustvl/yolos-small |
# YOLOS (small-sized) model
YOLOS model fine-tuned on COCO 2017 object detection (118k annotated images). It was introduced in the paper [You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection](https://arxiv.org/abs/2106.00666) by Fang et al. and first released in [this repository](h... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
nickmuchi/yolos-small-finetuned-license-plate-detection | # YOLOS (small-sized) model
This model is a fine-tuned version of [hustvl/yolos-small](https://huggingface.co/hustvl/yolos-small) on the [licesne-plate-recognition](https://app.roboflow.com/objectdetection-jhgr1/license-plates-recognition/2) dataset from Roboflow which contains 5200 images in the training set and 380 i... | [
"name",
"license-plates"
] |
kariver/detr-resnet-50_finetuned_food-roboflow |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_food-roboflow
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/fa... | [
"akabare khursani",
"apple",
"artichoke",
"ash gourd -kubhindo-",
"asparagus -kurilo-",
"avocado",
"bacon",
"bamboo shoots -tama-",
"banana",
"beans",
"beaten rice -chiura-",
"beef",
"beetroot",
"bethu ko saag",
"bitter gourd",
"black lentils",
"black beans",
"bottle gourd -lauka-"... |
ustc-community/dfine-xlarge-obj2coco | ## D-FINE
### **Overview**
The D-FINE model was proposed in [D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement](https://arxiv.org/abs/2410.13842) by
Yansong Peng, Hebei Li, Peixi Wu, Yueyi Zhang, Xiaoyan Sun, Feng Wu
This model was contributed by [VladOS95-cyber](https://github.com/Vl... | [
"person",
"bicycle",
"car",
"motorbike",
"aeroplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"backpack",
"umbrell... |
davanstrien/detr_beyond_words |
# detr_beyond_words (WIP)
[facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) fine tuned on [Beyond Words](https://github.com/LibraryOfCongress/newspaper-navigator/tree/master/beyond_words_data). | [
"photograph",
"illustration",
"map",
"comics/cartoon",
"editorial cartoon",
"headline",
"advertisement"
] |
facebook/detr-resnet-101-dc5 |
# DETR (End-to-End Object Detection) model with ResNet-101 backbone (dilated C5 stage)
DEtection TRansformer (DETR) model trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) by Carion... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
facebook/detr-resnet-101 |
# DETR (End-to-End Object Detection) model with ResNet-101 backbone
DEtection TRansformer (DETR) model trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) by Carion et al. and first r... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
facebook/detr-resnet-50-dc5 |
# DETR (End-to-End Object Detection) model with ResNet-50 backbone (dilated C5 stage)
DEtection TRansformer (DETR) model trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) by Carion ... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
facebook/detr-resnet-50 |
# DETR (End-to-End Object Detection) model with ResNet-50 backbone
DEtection TRansformer (DETR) model trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [End-to-End Object Detection with Transformers](https://arxiv.org/abs/2005.12872) by Carion et al. and first re... | [
"n/a",
"person",
"traffic light",
"fire hydrant",
"street sign",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"bicycle",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"hat",
"backpack",
"umbrella",
"shoe",
"car",
"eye glasses",
"ha... |
SenseTime/deformable-detr-single-scale-dc5 |
# Deformable DETR model with ResNet-50 backbone, single scale + dilation
Deformable DEtection TRansformer (DETR) single scale + dilation model trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [Deformable DETR: Deformable Transformers for End-to-End Object Detect... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
SenseTime/deformable-detr-single-scale |
# Deformable DETR model with ResNet-50 backbone, single scale
Deformable DEtection TRansformer (DETR), single scale model trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [Deformable DETR: Deformable Transformers for End-to-End Object Detection](https://arxiv.or... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
SenseTime/deformable-detr-with-box-refine-two-stage |
# Deformable DETR model with ResNet-50 backbone, with box refinement and two stage
Deformable DEtection TRansformer (DETR), with box refinement and two stage model trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [Deformable DETR: Deformable Transformers for End... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
SenseTime/deformable-detr-with-box-refine |
# Deformable DETR model with ResNet-50 backbone, with box refinement
Deformable DEtection TRansformer (DETR), with box refinement trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [Deformable DETR: Deformable Transformers for End-to-End Object Detection](https://... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
SenseTime/deformable-detr |
# Deformable DETR model with ResNet-50 backbone
Deformable DEtection TRansformer (DETR) model trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [Deformable DETR: Deformable Transformers for End-to-End Object Detection](https://arxiv.org/abs/2010.04159) by Zhu et ... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
TahaDouaji/detr-doc-table-detection |
# Model Card for detr-doc-table-detection
# Model Details
detr-doc-table-detection is a model trained to detect both **Bordered** and **Borderless** tables in documents, based on [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50).
- **Developed by:** Taha Douaji
- **Shared by [Optional]:**... | [
"table",
"table"
] |
hustvl/yolos-tiny |
# YOLOS (tiny-sized) model
YOLOS model fine-tuned on COCO 2017 object detection (118k annotated images). It was introduced in the paper [You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection](https://arxiv.org/abs/2106.00666) by Fang et al. and first released in [this repository](ht... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
hustvl/yolos-base |
# YOLOS (base-sized) model
YOLOS model fine-tuned on COCO 2017 object detection (118k annotated images). It was introduced in the paper [You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection](https://arxiv.org/abs/2106.00666) by Fang et al. and first released in [this repository](ht... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
hustvl/yolos-small-dwr |
# YOLOS (small-sized, fast model scaling) model
YOLOS model fine-tuned on COCO 2017 object detection (118k annotated images). It was introduced in the paper [You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection](https://arxiv.org/abs/2106.00666) by Fang et al. and first released in... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
hustvl/yolos-small-300 |
# YOLOS (small-sized) model (300 pre-train epochs)
YOLOS model fine-tuned on COCO 2017 object detection (118k annotated images). It was introduced in the paper [You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection](https://arxiv.org/abs/2106.00666) by Fang et al. and first released... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
nickmuchi/yolos-small-finetuned-masks |
# YOLOS (small-sized) model
The original YOLOS model was fine-tuned on COCO 2017 object detection (118k annotated images). It was introduced in the paper [You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection](https://arxiv.org/abs/2106.00666) by Fang et al. and first released in [t... | [
"masks",
"mask_worn_incorrectly",
"with_mask",
"without_mask"
] |
nickmuchi/yolos-small-rego-plates-detection | # YOLOS (small-sized) model
The original YOLOS model was fine-tuned on COCO 2017 object detection (118k annotated images). It was introduced in the paper [You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection](https://arxiv.org/abs/2106.00666) by Fang et al. and first released in [th... | [
"name",
"license-plates",
"vehicle"
] |
nielsr/detr-table-detection | Hi,
Please don't use this model anymore, it only worked for a specific branch of mine.
From now on it's recommended to use https://huggingface.co/microsoft/table-transformer-detection from Transformers.
Thanks, have a great day | [
"table",
"table rotated"
] |
nielsr/detr-table-structure-recognition | Hi,
Please don't use this model anymore, it only worked for a specific branch of mine.
From now on it's recommended to use https://huggingface.co/microsoft/table-transformer-structure-recognition from Transformers.
Thanks, have a great day | [
"table",
"table column",
"table row",
"table column header",
"table projected row header",
"table spanning cell"
] |
microsoft/conditional-detr-resnet-50 |
# Conditional DETR model with ResNet-50 backbone
Conditional DEtection TRansformer (DETR) model trained end-to-end on COCO 2017 object detection (118k annotated images). It was introduced in the paper [Conditional DETR for Fast Training Convergence](https://arxiv.org/abs/2108.06152) by Meng et al. and first released ... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
SalML/DETR-table-detection | # The models are taken from https://github.com/microsoft/table-transformer/
# Original model now on MSFT org: https://huggingface.co/microsoft/table-transformer-detection
I have built a HuggingFace Space: https://huggingface.co/spaces/SalML/TableTransformer2CSV
It runs an OCR on the table-transformer output image to ob... | [
"table",
"table rotated"
] |
SalML/DETR-table-structure-recognition | # The models are taken from https://github.com/microsoft/table-transformer/
# Original model now on MSFT org: https://huggingface.co/microsoft/table-transformer-structure-recognition
I have built a HuggingFace Space: https://huggingface.co/spaces/SalML/TableTransformer2CSV
It runs an OCR on the table-transformer output... | [
"table",
"table column",
"table row",
"table column header",
"table projected row header",
"table spanning cell"
] |
microsoft/table-transformer-detection |
# Table Transformer (fine-tuned for Table Detection)
Table Transformer (DETR) model trained on PubTables1M. It was introduced in the paper [PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents](https://arxiv.org/abs/2110.00061) by Smock et al. and first released in [this repository](https... | [
"table",
"table rotated"
] |
microsoft/table-transformer-structure-recognition |
# Table Transformer (fine-tuned for Table Structure Recognition)
Table Transformer (DETR) model trained on PubTables1M. It was introduced in the paper [PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents](https://arxiv.org/abs/2110.00061) by Smock et al. and first released in [this repos... | [
"table",
"table column",
"table row",
"table column header",
"table projected row header",
"table spanning cell"
] |
Narsil/layoutlm-funsd |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# layoutlm-funsd
This model is a fine-tuned version of [microsoft/layoutlm-base-uncased](https://huggingface.co/microsoft/layoutlm... | [
"o",
"b-header",
"i-header",
"b-question",
"i-question",
"b-answer",
"i-answer"
] |
valentinafeve/yolos-fashionpedia |
This is a fine-tunned object detection model for fashion.
For more details of the implementation you can check the source code [here](https://github.com/valntinaf/fine_tunning_YOLOS_for_fashion)
the dataset used for its training is available [here](https://huggingface.co/datasets/detection-datasets/fashionpedia)
th... | [
"shirt, blouse",
"top, t-shirt, sweatshirt",
"sweater",
"cardigan",
"jacket",
"vest",
"pants",
"shorts",
"skirt",
"coat",
"dress",
"jumpsuit",
"cape",
"glasses",
"hat",
"headband, head covering, hair accessory",
"tie",
"glove",
"watch",
"belt",
"leg warmer",
"tights, stocki... |
Rahul-2022/detr-base-sroie |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-base-sroie
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50) ... | [
"other",
"address",
"date",
"company",
"total",
"line_total",
"line_description"
] |
davanstrien/detr-resnet-50_fine_tuned_trade_dir |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_fine_tuned_trade_dir
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/faceb... | [
"image",
"main heading (caps)",
"page header (trades)",
"running heads",
"section title",
"text box"
] |
Narsil/layoutlmv3-finetuned-funsd |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# layoutlmv3-finetuned-funsd
This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/la... | [
"o",
"b-header",
"i-header",
"b-question",
"i-question",
"b-answer",
"i-answer"
] |
Narsil/layoutlmv2-finetuned-funsd |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# layoutlmv2-finetuned-funsd
This model is a fine-tuned version of [microsoft/layoutlmv2-base-uncased](https://huggingface.co/micr... | [
"other",
"b-header",
"i-header",
"b-question",
"i-question",
"b-answer",
"i-answer"
] |
jozhang97/deta-resnet-50 | # Detection Transformers with Assignment
By [Jeffrey Ouyang-Zhang](https://jozhang97.github.io/), [Jang Hyun Cho](https://sites.google.com/view/janghyuncho/), [Xingyi Zhou](https://www.cs.utexas.edu/~zhouxy/), [Philipp Krähenbühl](http://www.philkr.net/)
From the paper [NMS Strikes Back](https://arxiv.org/abs/2212.0... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
liaujianjie/detr-resnet-50 |
Fork of [DETR (End-to-End Object Detection) model with ResNet-50 backbone](https://huggingface.co/facebook/detr-resnet-50)
Just messing around | [
"n/a",
"person",
"traffic light",
"fire hydrant",
"street sign",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"bicycle",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"hat",
"backpack",
"umbrella",
"shoe",
"car",
"eye glasses",
"ha... |
emre/detr-resnet-50_finetuned_cppe5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | [
"coverall",
"face_shield",
"gloves",
"goggles",
"mask"
] |
deeplearnersk/detr-resnet-50_finetuned_cppe5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | [
"coverall",
"face_shield",
"gloves",
"goggles",
"mask"
] |
Shebrain/detr-resnet-50_finetuned_cppe5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | [
"coverall",
"face_shield",
"gloves",
"goggles",
"mask"
] |
devonho/detr-resnet-50_finetuned_cppe5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | [
"coverall",
"face_shield",
"gloves",
"goggles",
"mask"
] |
jozhang97/deta-swin-large | # Detection Transformers with Assignment
By [Jeffrey Ouyang-Zhang](https://jozhang97.github.io/), [Jang Hyun Cho](https://sites.google.com/view/janghyuncho/), [Xingyi Zhou](https://www.cs.utexas.edu/~zhouxy/), [Philipp Krähenbühl](http://www.philkr.net/)
From the paper [NMS Strikes Back](https://arxiv.org/abs/2212.0... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
jozhang97/deta-swin-large-o365 | # Detection Transformers with Assignment
By [Jeffrey Ouyang-Zhang](https://jozhang97.github.io/), [Jang Hyun Cho](https://sites.google.com/view/janghyuncho/), [Xingyi Zhou](https://www.cs.utexas.edu/~zhouxy/), [Philipp Krähenbühl](http://www.philkr.net/)
From the paper [NMS Strikes Back](https://arxiv.org/abs/2212.0... | [
"none",
"person",
"sneakers",
"chair",
"other shoes",
"hat",
"car",
"lamp",
"glasses",
"bottle",
"desk",
"cup",
"street lights",
"cabinet/shelf",
"handbag/satchel",
"bracelet",
"plate",
"picture/frame",
"helmet",
"book",
"gloves",
"storage box",
"boat",
"leather shoes",... |
jozhang97/deta-resnet-50-24-epochs | # Detection Transformers with Assignment
By [Jeffrey Ouyang-Zhang](https://jozhang97.github.io/), [Jang Hyun Cho](https://sites.google.com/view/janghyuncho/), [Xingyi Zhou](https://www.cs.utexas.edu/~zhouxy/), [Philipp Krähenbühl](http://www.philkr.net/)
From the paper [NMS Strikes Back](https://arxiv.org/abs/2212.0... | [
"n/a",
"person",
"bicycle",
"car",
"motorcycle",
"airplane",
"bus",
"train",
"truck",
"boat",
"traffic light",
"fire hydrant",
"n/a",
"stop sign",
"parking meter",
"bench",
"bird",
"cat",
"dog",
"horse",
"sheep",
"cow",
"elephant",
"bear",
"zebra",
"giraffe",
"n/a... |
belita/detr-resnet-50_finetuned_cppe5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | [
"coverall",
"face_shield",
"gloves",
"goggles",
"mask"
] |
Mustafa21/detr-resnet-50_finetuned_cppe5 | Full notebook:
https://github.com/MustafaAlahmid/hugging_face_models/blob/main/detr-resnet50-cppe5.ipynb
---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cppe-5
model-index:
- name: detr-resnet-50_finetuned_cppe5
results: []
---
<!-- This model card has been generated automatically according to t... | [
"coverall",
"face_shield",
"gloves",
"goggles",
"mask"
] |
clp/detr-resnet-50_finetuned_cppe5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [clp/detr-resnet-50_finetuned_cppe5](https://huggingface.co... | [
"coverall",
"face_shield",
"gloves",
"goggles",
"mask"
] |
fedehub/detr-resnet-50_finetuned_cppe5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | [
"no drone",
"drone"
] |
facebook/deformable-detr-detic |
# Deformable DETR model trained using the Detic method on LVIS
Deformable DEtection TRansformer (DETR), trained on LVIS (including 1203 classes). It was introduced in the paper [Detecting Twenty-thousand Classes using Image-level Supervision](https://arxiv.org/abs/2201.02605) by Zhou et al. and first released in [thi... | [
"aerosol_can",
"air_conditioner",
"airplane",
"alarm_clock",
"alcohol",
"alligator",
"almond",
"ambulance",
"amplifier",
"anklet",
"antenna",
"apple",
"applesauce",
"apricot",
"apron",
"aquarium",
"arctic_(type_of_shoe)",
"armband",
"armchair",
"armoire",
"armor",
"artichok... |
facebook/deformable-detr-box-supervised |
# Deformable DETR model trained on LVIS
Deformable DEtection TRansformer (DETR), trained on LVIS (including 1203 classes). It was introduced in the paper [Detecting Twenty-thousand Classes using Image-level Supervision](https://arxiv.org/abs/2201.02605) by Zhou et al. and first released in [this repository](https://g... | [
"aerosol_can",
"air_conditioner",
"airplane",
"alarm_clock",
"alcohol",
"alligator",
"almond",
"ambulance",
"amplifier",
"anklet",
"antenna",
"apple",
"applesauce",
"apricot",
"apron",
"aquarium",
"arctic_(type_of_shoe)",
"armband",
"armchair",
"armoire",
"armor",
"artichok... |
davanstrien/detr-resnet-50_find_tuned_beyond_words |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_find_tuned_beyond_words
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/fa... | [
"photograph",
"illustration",
"map",
"comics/cartoon",
"editorial cartoon",
"headline",
"advertisement"
] |
davanstrien/conditional-detr-resnet-50_fine_tuned_beyond_words |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# conditional-detr-resnet-50_fine_tuned_beyond_words
This model is a fine-tuned version of [microsoft/conditional-detr-resnet-50](... | [
"photograph",
"illustration",
"map",
"comics/cartoon",
"editorial cartoon",
"headline",
"advertisement"
] |
AiAdam/detr-resnet-50_finetuned_cppe5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | [
"coverall",
"face_shield",
"gloves",
"goggles",
"mask"
] |
Natoshir/detr-resnet-50_finetuned_cppe5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | [
"coverall",
"face_shield",
"gloves",
"goggles",
"mask"
] |
KasperRH/Raiyan_Kasper_Model |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# Raiyan_Kasper_Model
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-... | [
"coverall",
"face_shield",
"gloves",
"goggles",
"mask"
] |
lauralex/coco_DBD_finetuned |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# coco_DBD_finetuned
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-5... | [
"bleeding",
"blessed",
"blindness",
"bloodlust",
"broken",
"cursed",
"deepwound",
"endurance",
"exhaustion",
"exposed",
"gliph",
"haste",
"hearing",
"hindered",
"incapacitated",
"madness",
"mangled",
"oblivious",
"sleeppenalty",
"undetectable",
"vision"
] |
TopKek/detr-resnet-50_plastic_in_river_1ep |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_plastic_in_river_1ep
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/faceb... | [
"plastic_bag",
"plastic_bottle",
"other_plastic_waste",
"not_plastic_waste"
] |
Someshfengde/detr-resnet-50_finetuned_cppe5 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# detr-resnet-50_finetuned_cppe5
This model is a fine-tuned version of [facebook/detr-resnet-50](https://huggingface.co/facebook/d... | [
"coverall",
"face_shield",
"gloves",
"goggles",
"mask"
] |
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