Datasets › ImageNet VID
ImageNet VID
ImageNet VID is a large-scale public dataset for video object detection and contains more than 1M frames for training and more than 100k frames for validation.
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Video Object Detection | ImageNet VID | YOLOV++ MAP 93.2 | Practical Video Object Detection via Feature Selection... | yuhengsss/yolov | 33 | Compare |
Papers archive 2025-07-28
23 shown of 23 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 26. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
Dataset loaders archive 2025-07-28
No loader listed in the archive.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
No modality tagged.
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- ImageNet VID
1 variant name, as the archive lists them.
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