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README.md

@@ -30,7 +30,7 @@ language:
 
 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.
 
-![preview](preview/0001_scene_0002.png) ![preview](preview/0002_scene_4637.png) ![preview](preview/0003_scene_0013.png) ![preview](preview/0004_scene_0004.png)
+![preview](preview/0001_scene_0017.png) ![preview](preview/0002_scene_0037.png) ![preview](preview/0003_scene_0031.png) ![preview](preview/0004_scene_0038.png)
 
 ## Overview
 
@@ -46,8 +46,8 @@ The dataset's value is simple: synthetic renders give perfect ground truth annot
 | Train split | 8,000 |
 | Val split | 2,000 |
 | Resolution | 1280x720 |
-| Object instances | 345,404 |
-| Object categories | 7 |
+| Object instances | 295,292 |
+| Object categories | 4 |
 | Modalities | 6 (RGB, depth, mask, pose, bboxes, visibility) |
 | Total size on disk | 14.8 GB |
 

bin_picking_coco.zip

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+size 5565735

bin_picking_train_bop.zip

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 size 12467961938

bin_picking_val_bop.zip

@@ -1,3 +1,3 @@
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 size 3172641283

bin_picking_yolo.zip

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+size 5787115

dataset_stats.json

@@ -4,15 +4,12 @@
   "num_depth": 10000,
   "num_segmentation": 10000,
   "num_annotations": 10000,
-  "total_objects": 345404,
+  "total_objects": 295292,
   "categories": [
-    "bin",
     "bottle",
     "box",
     "can",
-    "floor",
-    "pouch",
-    "shelf"
+    "pouch"
   ],
   "resolutions": [
     [

metadata.json

@@ -2,7 +2,7 @@
   "name": "bin-picking-v1",
   "version": "1.0.0",
   "author": "Umit Kavala",
-  "release_date": "2026-04-25T19:45:01.458880+00:00",
+  "release_date": "2026-04-26T17:32:38.587593+00:00",
   "num_scenes_total": 10000,
   "num_scenes_train": 8000,
   "num_scenes_val": 2000,