VisDrone/VisDrone-Dataset resource
The dataset for drone based detection and tracking is released, including both image/video, and annotations. observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2563
- days_rel: n/a
- days_push: 1074
- n_releases_24m: 0
Adoption not part of the score
2514 stars · 243 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
VisDrone is a large-scale benchmark dataset of drone-captured images and videos with over 2.6 million annotated bounding boxes for object detection, tracking, and crowd counting tasks. It includes 288 video clips, 261,908 frames, and 10,209 static images collected across 14 cities in China under varied conditions.
Use cases
- train object detection models on aerial drone imagery
- benchmark multi-object tracking algorithms on drone video
- evaluate single-object tracking from a first-frame annotation
- train crowd counting models on drone footage
- find a labeled dataset for small object detection research
- compare detection performance across weather and lighting conditions
When to choose
- you need annotated aerial/drone imagery for detection or tracking research
- you want a standard benchmark to compare against published VisDrone results
- your model must handle small, dense objects like pedestrians and vehicles from above
When to avoid
- you need ground-level or indoor imagery
- you need a permissively licensed dataset for commercial products (no license is specified)
- your task is unrelated to drone or aerial perspectives
Facets
dataset · maturity stable
computer-vision image-processing video-processing machine-learning computer-vision machine-learning autonomous-vehicles cross-platform drone uav object-detection object-tracking crowd-counting benchmark aerial-imagery annotations
1 source
- readme: https://github.com/VisDrone/VisDrone-Dataset · fetched 2026-08-28 · f422dc125831
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| VisDrone/VisDrone-Dataset | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="VisDrone/VisDrone-Dataset")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem