Datasets:
Update README.md
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README.md
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| `RGB_rectified/` | Rectified (undistorted) RGB images | 390 |
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| `SAM_boundaries/` | Binary masks from SAM-2 boundary detection | 390 |
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> **Note:** Some images do not have corresponding annotations (362 out of 390 images are annotated). Images without annotations were excluded during quality control.
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## Annotation Format
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| Field | Description |
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|-------|-------------|
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| `label` | Frontier
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| `start` | Top-left corner `[x, y]` of the bounding box |
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| `end` | Bottom-right corner `[x, y]` of the bounding box |
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## Usage
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### Loading the Dataset
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### Metadata Mapping
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The `metadata.json` file in `RGB_frames/` maps each image to its source in the GrandTour dataset:
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```python
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import json
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with open("wildos/RGB_frames/metadata.json", "r") as f:
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metadata = json.load(f)
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# Find original GrandTour image for a specific frame
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original_path = metadata["
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print(f"Original GrandTour path: {original_path}")
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```
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- **Total Images**: 390
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- **Total Annotations**: 362 JSON files
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- **Frontier
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- **Image Format**: PNG
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- **Source Dataset**: [GrandTour Dataset](https://huggingface.co/datasets/leggedrobotics/grand_tour_dataset)
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## Related Resources
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| `RGB_rectified/` | Rectified (undistorted) RGB images | 390 |
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| `SAM_boundaries/` | Binary masks from SAM-2 boundary detection | 390 |
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> **Note:** Some images do not have corresponding annotations (362 out of 390 images are annotated). Images without annotations were excluded during quality control. The `SAM_boundaries/` folder contains SAM-2 boundary masks used in an ablation study, where frontiers were defined as the SAM boundary segments within human-annotated bounding boxes.
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## Annotation Format
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| Field | Description |
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|-------|-------------|
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| `label` | Frontier label (currently `"frontier"` for all annotations) |
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| `start` | Top-left corner `[x, y]` of the bounding box |
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| `end` | Bottom-right corner `[x, y]` of the bounding box |
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> **Note:** The `label` field exists because we initially experimented with labeling frontiers of varying strengths. In the final dataset, all annotations use the single label `"frontier"`.
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## Usage
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### Loading the Dataset
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### Metadata Mapping
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The `metadata.json` file in `RGB_frames/` maps each image index to its source path in the GrandTour dataset:
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```python
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import json
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with open("wildos/RGB_frames/metadata.json", "r") as f:
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metadata = json.load(f)
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# Find original GrandTour image for a specific frame index
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original_path = metadata["0"] # e.g., "release_2024-11-03-07-57-34/hdr_front/hdr_front_01342.png"
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print(f"Original GrandTour path: {original_path}")
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```
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- **Total Images**: 390
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- **Total Annotations**: 362 JSON files
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- **Frontier Label**: `frontier`
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- **Image Format**: PNG
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## Related Resources
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