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- README.md +38 -0
- model/Screw_Best_Model.pth +3 -0
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README.md
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---
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license: cc-by-nc-4.0
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---
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---
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license: cc-by-nc-4.0
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base_model:
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- Ultralytics/YOLOv8
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pipeline_tag: image-segmentation
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datasets:
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- industoai/PackDet
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tags:
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- object-segmentation
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- YOLO
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- Package-Detection
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library_name: pytorch
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---
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# Description
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This model is the pretrained model for few shot deep approach used for counting screws and nuts in [ScrewCount](https://huggingface.co/datasets/industoai/ScrewCount).
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## Code
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The complete code can be found [here](https://github.com/industoai/ScrewCount).
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## License
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This model is licensed under the Attribution–NonCommercial 4.0 International License (CC BY-NC 4.0).
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## Citation
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If you find this model useful, please consider citing the following paper:
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```
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@conference{visapp26,
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author={Farnaz Delirie and Afshin Dini and Amirmasoud Molaei and Leila Sadeghi},
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title={ScrewCount: A Dataset and Benchmark for Exemplar Efficiency and Text-Guided Few-Shot Object Counting},
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booktitle={Proceedings of the 21st International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP},
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year={2026},
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pages={306-313},
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publisher={SciTePress},
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organization={INSTICC},
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doi={10.5220/0014236300004084},
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isbn={978-989-758-804-4},
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issn={2184-4321},
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}
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```
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model/Screw_Best_Model.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d9e4cb5e6a79931bea91096d0e44d861e2ae54cd8c5f8ce39a1f9665dfb3bbf
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size 3048438
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