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README.md

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+---
+license: cc-by-4.0
+task_categories:
+- object-detection
+tags:
+- 6d-pose
+- event-camera
+- synthetic
+- blender
+- gso
+size_categories:
+- 100G<n<1T
+---
+
+# Event6DBlenderMedium (Blender-Rendered Training Data — `medium` extension)
+
+The `medium`-difficulty extension to [`mickeykang/Event6DBlender`](https://huggingface.co/datasets/mickeykang/Event6DBlender).
+**Not used by the released [Event6D](https://github.com/mickeykang16/Event6D) checkpoint**
+(the public training run hardcodes `categories=['easy']`), but included here for users
+who want to extend training to harder sequences.
+
+## Layout
+
+```
+Event6DBlenderMedium/
+├── EvBlenderProc/25-07-30_medium_9/train_pbr/<seq>/
+│   ├── rgb/, depth/, mask/, mask_visib/, scene_camera.json, scene_gt.json, ...
+└── EvBlenderProcEv/25-07-30_medium_9/<seq>/0001.npz, 0002.npz, ...
+```
+
+1354 training sequences + 386 test sequences (medium-difficulty category).
+
+## Usage
+
+Download into the **same local directory** as `Event6DBlender` so the splits and GSO
+meshes from that repo cover the medium sequences as well:
+
+```bash
+huggingface-cli download mickeykang/Event6DBlender       --repo-type dataset --local-dir ./data/Event6DBlender
+huggingface-cli download mickeykang/Event6DBlenderMedium --repo-type dataset --local-dir ./data/Event6DBlender
+```
+
+`train.txt` / `test.txt` from the primary repo already list these sequences.
+
+To train on `easy + medium`, modify the dataloader call (`blender_reader_e2e.py:89`) to
+`process_subdir_fast(categories=['easy', 'medium'])`.
+
+## Attribution
+
+Renders use the same GSO mesh set + BlenderProc pipeline as the primary repo — see
+[`mickeykang/Event6DBlender`](https://huggingface.co/datasets/mickeykang/Event6DBlender)
+for licensing details.
+
+## Citation
+
+Please cite Event6D (CVPR 2026) if you use this data.