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DV

DINOv3 Video Tracking

huggingface.co·AI & ML

This demo uses the DINOv3 model to perform video object tracking. Users upload a video, click on an object in a frame, and the system automatically highlights similar regions throughout the entire clip. All analysis happens through the hosted inference service on Hugging Face.

FreeWeb
DDINOv3 Video Tracking preview
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Overview

4 features

In the AI & ML space, DINOv3 Video Tracking takes a focused approach. It focuses on tracking specific objects throughout video sequences with minimal user input. It is built as an open-source project for computer vision researchers and developers. DINOv3 Video Tracking costs nothing to use. It runs on the web.

It is developed by webml-community, and it first shipped in 2024. Key capabilities include Video Upload, Object Tracking, and Interactive Selection.

Summary written by a language model from the project’s public pages.

  • ✓Video Upload
  • ✓Object Tracking
  • ✓Interactive Selection
  • ✓Frame Analysis
Tags
video-trackingobject-segmentationdino-modelinteractive-trackingcomputer-vision-demo
AI capabilities
Video
Inference: Cloud APIWeights: Open

Built with & integrations

Hosting
AWS
AI providers
local_oss
Runs on
Browser
Detected from
AWS
x-amz-cf-id header · x-amz-cf-pop header · via header
local_oss
huggingface in the HTML

Trust & compliance

Verified signals
✓HTTPS✓Free tier

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed4 Aug · 20:18 UTC
    webml-community/DINOv3-video-tracking verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about DINOv3 Video Tracking

What does DINOv3 Video Tracking do?
DINOv3 Video Tracking focuses on tracking specific objects throughout video sequences with minimal user input. It is catalogued under AI & ML on PulseGate.
Who should use DINOv3 Video Tracking?
DINOv3 Video Tracking is an open-source project built for computer vision researchers and developers.
Does DINOv3 Video Tracking have a free plan?
Yes — DINOv3 Video Tracking is free to use.
What platforms does DINOv3 Video Tracking run on?
DINOv3 Video Tracking runs on the web.
Is DINOv3 Video Tracking still maintained?
Unverified. DINOv3 Video Tracking has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to DINOv3 Video Tracking?
Similar projects tracked by PulseGate include Cliprise, chi-ai, and AI DocuChat.Cliprisechi-aiAI DocuChat
Who develops DINOv3 Video Tracking?
DINOv3 Video Tracking is developed by webml-community.
How long has DINOv3 Video Tracking been around?
DINOv3 Video Tracking first shipped in 2024.

At a glance

Platforms
Web
Languages
English
Built for
computer vision researchers and developers
Model
Open source
Solves
Tracking specific objects throughout video sequences with minimal user input.

Registered as

Hugging Face Spaces
webml-community/DINOv3-video-tracking

Developer

webml-community

Live coverage

Identity confidence
High · 87.8
Indexed
4 Aug 2026
Lifecycle
Alive
Last seen
4 Aug 2026
Identity audit (13)
Slug
webml-community-dinov3-video-tracking-huggingface-co
Lifecycle state recorded
4 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
4 Aug 2026
Timeline basis
Indexed-at chronology. This listing's first-seen date was written by the catalog backfill, not observed here, so it is not treated as a sighting.
Name from
Derived from the project's own page and URL.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model from page content.
Last updated
4 Aug 2026
Canonical URL
https://huggingface.co/spaces/webml-community/DINOv3-video-tracking

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