| --- |
| license: cc-by-nc-sa-4.0 |
| tags: |
| - 6d-pose-estimation |
| size_categories: |
| - 10K<n<100K |
| dataset_info: |
| features: |
| - name: scene_id |
| dtype: string |
| - name: image_id |
| dtype: string |
| - name: camera_type |
| dtype: string |
| - name: image |
| dtype: image |
| - name: depth |
| dtype: image |
| - name: width |
| dtype: int64 |
| - name: height |
| dtype: int64 |
| - name: split |
| dtype: string |
| - name: labels |
| dtype: string |
| - name: camera_params |
| dtype: string |
| - name: source_image_id |
| dtype: string |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: |
| - 'data/no_occlusions/000004/*.parquet' |
| - 'data/no_occlusions/000003/*.parquet' |
| - config_name: scene000004 |
| data_files: |
| - split: test |
| path: |
| - 'data/no_occlusions/000004/*.parquet' |
| pretty_name: CHIP |
| --- |
| # CHIP: A multi-sensor dataset for 6D pose estimation of chairs in industrial settings |
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| Homepage link: https://tev-fbk.github.io/CHIP/ |
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| Paper link: https://arxiv.org/abs/2506.09699 |