| | --- |
| | license: mit |
| | task_categories: |
| | - image-segmentation |
| | - image-classification |
| | - object-detection |
| | pretty_name: Semantic segmenation and pose estimation from RGB-D |
| | dataset_info: |
| | features: |
| | - name: rgb |
| | dtype: image |
| | - name: depth |
| | dtype: image |
| | - name: mask |
| | dtype: image |
| | - name: meta |
| | list: |
| | - name: colors |
| | sequence: float64 |
| | - name: file |
| | dtype: string |
| | - name: id |
| | dtype: int64 |
| | - name: model |
| | dtype: string |
| | - name: numberOfColors |
| | dtype: int64 |
| | - name: orientation |
| | sequence: float64 |
| | - name: position |
| | sequence: float64 |
| | - name: positionOnImage |
| | sequence: int64 |
| | - name: size |
| | sequence: float64 |
| | - name: sizeOnImage |
| | sequence: int64 |
| | splits: |
| | - name: train |
| | num_bytes: 3340733260.96 |
| | num_examples: 1106 |
| | download_size: 3319212411 |
| | dataset_size: 3340733260.96 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | --- |
| | |
| | RGB-D dataset for instance segmentation (from RGB or depth) and pose estimation of individual objects. Data has been generated by randomizing bin contents in Webots. |
| | Each instance contains a mask image as well meta data containing labels, position, and size of each object. |
| |
|
| | <video src='https://cdn-uploads.huggingface.co/production/uploads/655b1b359d249b4ab388d4a2/l6b76ezxkPi6lG3Fr6_kj.mp4' width=720/> |
| |
|
| | You can create your own data by opening webots_grasp.wbt in the world directory using [Webots](https://www.cyberbotics.com). |
