| | --- |
| | dataset_info: |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: mask |
| | dtype: image |
| | splits: |
| | - name: train |
| | num_bytes: 547096711 |
| | num_examples: 5000 |
| | - name: validation |
| | num_bytes: 117520888 |
| | num_examples: 1000 |
| | - name: test |
| | num_bytes: 496235957.648 |
| | num_examples: 4428 |
| | download_size: 1184441980 |
| | dataset_size: 1160853556.648 |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: data/train-* |
| | - split: validation |
| | path: data/validation-* |
| | - split: test |
| | path: data/test-* |
| | license: apache-2.0 |
| | task_categories: |
| | - image-segmentation |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | |
| | # Links |
| | * Paper: https://arxiv.org/pdf/2101.08461 |
| | * Repository: https://github.com/xieenze/Trans2Seg |
| |
|
| | # Dataset composition |
| | There might be some differences with what the paper describes. We try to investigate and get this unique colors in the mask images: |
| |
|
| | ``` |
| | Color (np.uint32(0), np.uint32(0), np.uint32(0)): Found in 10428 images |
| | Color (np.uint32(235), np.uint32(255), np.uint32(7)): Found in 997 images |
| | Color (np.uint32(255), np.uint32(51), np.uint32(7)): Found in 3313 images |
| | Color (np.uint32(120), np.uint32(120), np.uint32(120)): Found in 1572 images |
| | Color (np.uint32(224), np.uint32(5), np.uint32(255)): Found in 3059 images |
| | Color (np.uint32(150), np.uint32(5), np.uint32(61)): Found in 1472 images |
| | Color (np.uint32(204), np.uint32(5), np.uint32(255)): Found in 340 images |
| | Color (np.uint32(4), np.uint32(250), np.uint32(7)): Found in 603 images |
| | Color (np.uint32(204), np.uint32(255), np.uint32(4)): Found in 501 images |
| | Color (np.uint32(140), np.uint32(140), np.uint32(140)): Found in 410 images |
| | Color (np.uint32(120), np.uint32(120), np.uint32(70)): Found in 279 images |
| | Color (np.uint32(6), np.uint32(230), np.uint32(230)): Found in 90 images |
| | Color (np.uint32(255), np.uint32(0), np.uint32(0)): Found in 1 images # red, this is a cup, mapped to (255, 51, 7) |
| | ``` |
| |
|
| | | Index | Class Name | Image Count (from paper) | Closest Color Count | Ordered RGB Value | |
| | | :--- | :--- | :--- | :--- | :--- | |
| | | 0 | `background` | (not listed) | 10428 | `[0, 0, 0]` | |
| | | 1 | `box` | 603 | 603 | `[4, 250, 7]` | |
| | | 2 | `bottle` | 1472 | 1472 | `[150, 5, 61]` | |
| | | 3 | `window` | 501 | 501 | `[204, 255, 4]` | |
| | | 4 | `eyeglass` | 410 | 410 | `[140, 140, 140]` | |
| | | 5 | `freezer` | 90 | 90 | `[6, 230, 230]` | |
| | | 6 | `jar/kettle` | 997 | 997 | `[235, 255, 7]` | |
| | | 7 | `door` | 1572 | 1572 | `[120, 120, 120]` | |
| | | 8 | `cup` | 3315 | 3313+1 | `[255, 51, 7]` | |
| | | 9 | `wall` | 3059 | 3059 | `[224, 5, 255]` | |
| | | 10 | `bowl` | 340 | 340 | `[204, 5, 255]` | |
| | | 11 | `shelf` | 280 | 279 | `[120, 120, 70]` | |
| |
|
| | # Split info |
| | We use the same split composition as the original dataset. |
| |
|
| | # License info |
| | We attach Apaceh 2.0 license as it is the license used in the github repository, please look up to the paper and the repository for better details. |
