Datasets:
Tasks:
Image Segmentation
Modalities:
Image
Formats:
parquet
Sub-tasks:
semantic-segmentation
Languages:
English
Size:
10K - 100K
License:
| language: | |
| - en | |
| license: cc0-1.0 | |
| license_name: cc0-1.0 | |
| license_link: https://creativecommons.org/publicdomain/zero/1.0/ | |
| tags: | |
| - computer-vision | |
| - autonomous-driving | |
| - mars | |
| - semantic-segmentation | |
| - robotics | |
| - space | |
| annotations_creators: | |
| - crowdsourced | |
| - expert-generated | |
| language_creators: | |
| - found | |
| language_details: en-US | |
| pretty_name: AI4MARS - Terrain-Aware Autonomous Driving on Mars | |
| size_categories: | |
| - 100K<n<1M | |
| source_datasets: | |
| - original | |
| task_categories: | |
| - image-segmentation | |
| task_ids: | |
| - semantic-segmentation | |
| paperswithcode_id: ai4mars | |
| dataset_info: | |
| features: | |
| - name: image | |
| dtype: image | |
| - name: label_mask | |
| dtype: image | |
| - name: rover_mask | |
| dtype: image | |
| - name: range_mask | |
| dtype: image | |
| - name: has_masks | |
| dtype: bool | |
| - name: has_labels | |
| dtype: bool | |
| splits: | |
| - name: train | |
| num_bytes: 6187608143.0 | |
| num_examples: 18130 | |
| - name: test_min1 | |
| num_bytes: 109623610.0 | |
| num_examples: 322 | |
| - name: test_min2 | |
| num_bytes: 109462392.0 | |
| num_examples: 322 | |
| - name: test_min3 | |
| num_bytes: 109183059.0 | |
| num_examples: 322 | |
| download_size: 6465888396 | |
| dataset_size: 6515877204.0 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: train | |
| path: data/train-* | |
| - split: test_min1 | |
| path: data/test_min1-* | |
| - split: test_min2 | |
| path: data/test_min2-* | |
| - split: test_min3 | |
| path: data/test_min3-* | |
| Taken from the kaggle repository [here](https://www.kaggle.com/datasets/yash92328/ai4mars-terrainaware-autonomous-driving-on-mars). | |
| # AI4Mars Dataset | |
| A dataset for terrain classification on Mars, specifically focused on Curiosity (MSL) rover data. | |
| ## Dataset Structure | |
| The dataset contains high-resolution Mars surface images with corresponding semantic segmentation masks for terrain classification. | |
| ### Features | |
| - **image**: Original EDR (Engineering Data Record) images from Mars | |
| - **label_mask**: Semantic segmentation masks with terrain labels | |
| - **rover_mask**: Binary masks (1 = rover visible) | |
| - **range_mask**: Binary distance masks (1 = beyond 30m) | |
| - **has_masks**: Boolean indicating presence of rover and range masks | |
| - **has_labels**: Boolean indicating presence of segmentation labels | |
| ### Labels | |
| Terrain classes are encoded as RGB values in the segmentation masks: | |
| - `(0,0,0)`: Soil | |
| - `(1,1,1)`: Bedrock | |
| - `(2,2,2)`: Sand | |
| - `(3,3,3)`: Big rock | |
| - `(255,255,255)`: No label/null | |
| ### Data Splits | |
| - **Train**: Crowdsourced labels with: | |
| - Minimum 3 labeler agreement | |
| - 2/3 agreement threshold per pixel | |
| - 30m distance cutoff | |
| - Rover regions masked out | |
| - **Test**: Expert-validated labels with: | |
| - 100% agreement requirement | |
| - Three versions available based on labeler agreement thresholds | |
| ### Image Products | |
| All image products share matching base names with different extensions: | |
| 1. **EDR Images** (.JPG): Raw Mars surface images | |
| 2. **MXY Files** (.png): Rover mask products | |
| 3. **RNG Files** (.png): 30-meter range mask products | |
| ## Notes | |
| - Current version (0.1) only includes Curiosity (MSL) data | |
| - MER (Mars Exploration Rover) data processing is work in progress | |
| - Range masks are derived from PDS (Planetary Data System) products |