Sign inGet started
Dataset · Hugging Face

lanlanlan23/XS-VID-v2

XS-VID v2 XS-VID v2 is a benchmark for extremely small object detection and tracking in videos. This release uses one canonical COCO-VID-style annotation contract across the Detection, MOT, and SOT tracks. The annotations/, archives/, sot/, tools/, and manifests/ directories form this v2 release. All 222,924 benchmark images are packaged in 16 archives. Download and Reproduce Project: https://gjhhust.github.io/XS-VID/Code and task commands:… See the full description on the dataset page: https://huggingface.co/datasets/lanlanlan23/XS-VID-v2.

Author / organizationlanlanlan23
License (as declared)cc-by-4.0
Downloads164 (as reported by Hugging Face)
Likes0
Created31 July 2026
Last updated at source5 October 2026
object-detectionvideotrackingsmall-objectbenchmarkdatasetcocovid
Embed this entry
<iframe src="https://silytics.si/embed/item/f590b104-2820-4d85-a895-7bfd2ee15285" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

164 now (+8 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.