| --- |
| 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). |
