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CITATION.bib CHANGED
@@ -1,6 +1,6 @@
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  @dataset{zeredata_binpicking_2026,
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  author = {Umit Kavala},
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- title = {ZereData Bin Picking Dataset v1.0},
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  year = {2026},
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  publisher = {HuggingFace},
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  url = {https://huggingface.co/datasets/zeredata/bin-picking-v1}
 
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  @dataset{zeredata_binpicking_2026,
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  author = {Umit Kavala},
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+ title = {ZereData Bin Picking Dataset v1.1},
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  year = {2026},
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  publisher = {HuggingFace},
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  url = {https://huggingface.co/datasets/zeredata/bin-picking-v1}
README.md CHANGED
@@ -1,5 +1,5 @@
1
  ---
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- pretty_name: ZereData Bin Picking Dataset v1.0
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  license: cc-by-4.0
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  task_categories:
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  - object-detection
@@ -24,13 +24,13 @@ language:
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  - en
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  ---
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- # ZereData Bin Picking Dataset v1.0
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  ![license](https://img.shields.io/badge/license-CC--BY--4.0-blue) ![scenes](https://img.shields.io/badge/scenes-10,000-green) ![size](https://img.shields.io/badge/size-14.8GB-orange)
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  Synthetic training data for robotic bin picking — RGB, depth, instance masks, 6D pose, 2D bounding boxes, and per-instance visibility, in BOP/COCO/YOLO formats.
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- ![preview](preview/0001_scene_0017.png) ![preview](preview/0002_scene_0031.png) ![preview](preview/0003_scene_0010.png) ![preview](preview/0004_scene_0056.png)
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  ## Overview
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@@ -46,7 +46,7 @@ The dataset's value is simple: synthetic renders give perfect ground truth annot
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  | Train split | 8,000 |
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  | Val split | 2,000 |
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  | Resolution | 1280x720 |
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- | Object instances | 295,292 |
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  | Object categories | 4 |
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  | Modalities | 6 (RGB, depth, mask, pose, bboxes, visibility) |
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  | Total size on disk | 14.8 GB |
@@ -158,7 +158,7 @@ Training 6D pose estimation models, bin-picking grasp models, and warehouse robo
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  - **Warehouse-specific lighting.** The three lighting profiles model warehouse conditions and may not transfer directly to outdoor, medical, or agricultural domains:
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  - `bin_picking_overhead` — bright fluorescent overhead panels, typical of distribution-center shelving aisles.
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  - `bin_picking_mixed` — mixed overhead + rim lighting with warmer colour temperature, mimicking older facilities with partial skylights.
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- - `studio` — lower-energy three-point studio setup, producing darker scenes useful as a poor-lighting proxy.
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  Each scene's `variety.lighting_profile` annotation tag records which profile was used.
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  - **Procedural materials.** Material variation uses procedural textures, not photoscanned assets. High-frequency surface detail may look synthetic under close inspection.
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  - **Geometric occlusion only.** No category-level occlusion modelling — occlusion is derived from geometry alone.
@@ -177,7 +177,7 @@ HOPE, T-LESS, and YCB-Video are excellent real-world datasets with limited scale
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  ```bibtex
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  @dataset{zeredata_binpicking_2026,
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  author = {Umit Kavala},
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- title = {ZereData Bin Picking Dataset v1.0},
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  year = {2026},
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  publisher = {HuggingFace},
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  url = {https://huggingface.co/datasets/zeredata/bin-picking-v1}
 
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  ---
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+ pretty_name: ZereData Bin Picking Dataset v1.1
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  license: cc-by-4.0
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  task_categories:
5
  - object-detection
 
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  - en
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  ---
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+ # ZereData Bin Picking Dataset v1.1
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  ![license](https://img.shields.io/badge/license-CC--BY--4.0-blue) ![scenes](https://img.shields.io/badge/scenes-10,000-green) ![size](https://img.shields.io/badge/size-14.8GB-orange)
30
 
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  Synthetic training data for robotic bin picking — RGB, depth, instance masks, 6D pose, 2D bounding boxes, and per-instance visibility, in BOP/COCO/YOLO formats.
32
 
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+ ![preview](preview/0001_scene_0016.png) ![preview](preview/0002_scene_0059.png) ![preview](preview/0003_scene_0001.png) ![preview](preview/0004_scene_0004.png)
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  ## Overview
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  | Train split | 8,000 |
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  | Val split | 2,000 |
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  | Resolution | 1280x720 |
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+ | Object instances | 296,603 |
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  | Object categories | 4 |
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  | Modalities | 6 (RGB, depth, mask, pose, bboxes, visibility) |
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  | Total size on disk | 14.8 GB |
 
158
  - **Warehouse-specific lighting.** The three lighting profiles model warehouse conditions and may not transfer directly to outdoor, medical, or agricultural domains:
159
  - `bin_picking_overhead` — bright fluorescent overhead panels, typical of distribution-center shelving aisles.
160
  - `bin_picking_mixed` — mixed overhead + rim lighting with warmer colour temperature, mimicking older facilities with partial skylights.
161
+ - `studio` — three-point studio lighting setup shared across ZereData scenarios; in bin-picking scenes, produces low-light conditions with deep shadows.
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  Each scene's `variety.lighting_profile` annotation tag records which profile was used.
163
  - **Procedural materials.** Material variation uses procedural textures, not photoscanned assets. High-frequency surface detail may look synthetic under close inspection.
164
  - **Geometric occlusion only.** No category-level occlusion modelling — occlusion is derived from geometry alone.
 
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  ```bibtex
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  @dataset{zeredata_binpicking_2026,
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  author = {Umit Kavala},
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+ title = {ZereData Bin Picking Dataset v1.1},
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  year = {2026},
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  publisher = {HuggingFace},
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  url = {https://huggingface.co/datasets/zeredata/bin-picking-v1}
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dataset_stats.json CHANGED
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  "num_depth": 10000,
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  "num_segmentation": 10000,
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  "categories": [
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  "bottle",
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@@ -19,6 +19,6 @@
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- "C:\\Projects\\zere-synth\\blender\\output\\bin_picking_v1_release_10k\\20260419_154937"
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  }
 
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  "num_depth": 10000,
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  "num_segmentation": 10000,
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  "num_annotations": 10000,
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  "categories": [
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  "box",
 
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metadata.json CHANGED
@@ -1,8 +1,8 @@
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  {
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  "name": "bin-picking-v1",
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  "author": "Umit Kavala",
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@@ -15,7 +15,7 @@
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@@ -57,7 +57,7 @@
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@@ -109,5 +109,5 @@
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  "name": "bin-picking-v1",
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  "author": "Umit Kavala",
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  "num_scenes_val": 2000,
 
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  "objects": {
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  "count": 27,
 
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