Datasets:
Download fiftyone.yml from Voxel51/InsPLAD: direct link, hf CLI and curl.
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- Download file 675 Bytes
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https://huggingface.co/datasets/Voxel51/InsPLAD/resolve/main/fiftyone.yml
- Command line
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hf download hf://datasets/Voxel51/InsPLAD/fiftyone.yml
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curl -L -o fiftyone.yml https://huggingface.co/datasets/Voxel51/InsPLAD/resolve/main/fiftyone.yml
675 Bytes
| description: InsPLAD is a Power Line Asset Inspection Dataset and Benchmark containing | |
| 10,561 high-resolution UAV images of 17 unique power line asset categories (28,959 | |
| box annotations), plus cropped-asset subsets for supervised fault classification | |
| (5 asset types) and unsupervised anomaly detection (17 asset types). This FiftyOne | |
| build merges all three official sub-datasets into one dataset with a `task` field | |
| and saved views per sub-task. | |
| format: FiftyOneDataset | |
| license: cc-by-nc-3.0 | |
| name: insplad | |
| tags: | |
| - anomaly-detection | |
| - fiftyone | |
| - image | |
| - image-classification | |
| - image-classification | |
| - object-detection | |
| - object-detection | |
| - power-line-inspection | |
| - uav | |