Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
parquet
Sub-tasks:
semantic-segmentation
Languages:
English
Size:
10K - 100K
License:
hassanjbara
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README.md
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path: data/test_min3-*
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Taken from the kaggle repository [here](https://www.kaggle.com/datasets/yash92328/ai4mars-terrainaware-autonomous-driving-on-mars).
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path: data/test_min3-*
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---
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Taken from the kaggle repository [here](https://www.kaggle.com/datasets/yash92328/ai4mars-terrainaware-autonomous-driving-on-mars).
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# AI4Mars Dataset
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A dataset for terrain classification on Mars, specifically focused on Curiosity (MSL) rover data.
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## Dataset Structure
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The dataset contains high-resolution Mars surface images with corresponding semantic segmentation masks for terrain classification.
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### Features
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- **image**: Original EDR (Engineering Data Record) images from Mars
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- **label_mask**: Semantic segmentation masks with terrain labels
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- **rover_mask**: Binary masks (1 = rover visible)
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- **range_mask**: Binary distance masks (1 = beyond 30m)
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- **has_masks**: Boolean indicating presence of rover and range masks
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- **has_labels**: Boolean indicating presence of segmentation labels
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### Labels
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Terrain classes are encoded as RGB values in the segmentation masks:
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- `(0,0,0)`: Soil
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- `(1,1,1)`: Bedrock
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- `(2,2,2)`: Sand
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- `(3,3,3)`: Big rock
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- `(255,255,255)`: No label/null
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### Data Splits
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- **Train**: Crowdsourced labels with:
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- Minimum 3 labeler agreement
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- 2/3 agreement threshold per pixel
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- 30m distance cutoff
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- Rover regions masked out
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- **Test**: Expert-validated labels with:
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- 100% agreement requirement
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- Three versions available based on labeler agreement thresholds
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### Image Products
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All image products share matching base names with different extensions:
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1. **EDR Images** (.JPG): Raw Mars surface images
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2. **MXY Files** (.png): Rover mask products
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3. **RNG Files** (.png): 30-meter range mask products
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## Notes
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- Current version (0.1) only includes Curiosity (MSL) data
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- MER (Mars Exploration Rover) data processing is work in progress
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- Range masks are derived from PDS (Planetary Data System) products
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