Datasets:
Elliot Localize People / animals and keypoints
Upstream training splits; known explicitly identified test/eval rows excluded. Cross-dataset benchmark overlap is not guaranteed. Published as a raw, manually gated release; source annotation caveats remain.
Task views reuse original image archives. Coordinates are normalized 0–1000. Within each query targets are sorted left-to-right then top-to-bottom.
HF preview configs contain 10 examples per view, not the complete training split. Full training uses metadataset.yaml and examples/read_energon.py (Energon 7.4).
| Source | View | Records | Targets | Examples |
|---|---|---|---|---|
| ap10k | points | 7,023 | 91,443 | 10 annotated examples |
| ap10k | boxes | 7,023 | 9,122 | 10 annotated examples |
| hicodet | boxes | 37,633 | 138,808 | 10 annotated examples |
| humanart | boxes | 33,222 | 82,186 | 10 annotated examples |
| humanart | points | 33,223 | 1,199,658 | 10 annotated examples |
What is not claimed
No guarantee of cross-dataset benchmark disjointness, global image uniqueness, semantic annotation correctness, or redistribution/license clearance. Shared box/point views are alternate tasks, not distinct images. Source-specific caveats remain applicable.
The package preserves upstream query text; metadata cleanup does not alter images or embedded image metadata.
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