Data checked 2026-08-13. Data may be stale - beyond the review cycle.
Review cycles are documented on the Methodology page. Methodology
VisDrone/DroneCrowd
Dataset Tier A perception_ai
Drone-based Joint Density Map Estimation, Localization and Tracking with Space-Time Multi-Scale Attention Network
Engineering Snapshot
Use cases & tasks 4
- Best suited for
-
- perception AI researchers
- UAV video analytics engineers
- Primary tasks
-
- train crowd counting networks
- benchmark multi-object tracking in aerial video
Stack & ecosystem
- Resource type
- Dataset
- Ecosystem
- perception_ai
License & compliance
- License
- Unknown
Lifecycle & freshness Show
- Maintenance
- Active
- Latest version
- Not recorded
- Last activity
- 2026-08-08
- Last checked
- 2026-08-13
- Verification
- Official confirmed
What It Solves
Provide annotated drone video for training/evaluating crowd counting, localization, and tracking models.
Primary use cases
- train crowd counting networks
- benchmark multi-object tracking in aerial video
Secondary use cases
- density map estimation
- trajectory analysis
When to Use
Consider when
- require head-level annotations from drone footage
- need 1920x1080 aerial video
Verify before adopting
- license status (unknown)
- access terms from repo
Start Here
Adoption Checklist
- Needs verification license status (unknown)
- Needs verification access terms from repo
Each check stays "needs verification" until an official source confirms it; unconfirmed items are never marked verified.
Known Limitations & Unknowns
Known limitations
- license unknown
- limited to 112 videos
Not publicly verified
- license details
- redistribution rights
Alternatives & Related Tools
Alternatives
- visdrone-dataset — Alternative to
Related tools
- bytetrack — Used for
How is it used?
Start from the recorded entry points below, then validate against the technical checklist.
- Official site https://github.com/VisDrone/DroneCrowd
- Repository https://github.com/VisDrone/DroneCrowd
- Documentation https://github.com/VisDrone/DroneCrowd
Technical checklist
- NEEDS REVIEW License identified No license field in any source response
- OK Maintenance signal Active
- OK Verification status Official confirmed
- OK Source evidence attached 1 source record(s)
- NEEDS REVIEW Latest version recorded Not recorded
Official Links
Metadata & Governance
| License | License: Unknown — No license field in any source response. |
|---|---|
| Commercial model | Unknown |
| Maintenance status | Active |
| Verification status | Official confirmed — Confirmed via the official repository API responses in SourceRefs below. |
| Latest version | Not recorded |
| Latest release | Not recorded |
| Last activity | 2026-08-08 |
| Last checked | 2026-08-13 |
| First seen | Not recorded |
Dataset facts
| Task | crowd counting, crowd localization, crowd tracking |
|---|---|
| Modality | video |
Facts above come from the official dataset card only; unconfirmed fields stay unknown.
Related Resources & Dependencies
- visdrone-dataset — alternative to (verified)
- bytetrack — used for (verified)
Recent Activity
New resource: VisDrone/DroneCrowd
New repository resource added by the sprint promote pipeline.
Related Knowledge
Collections
- Aerial Mapping and Survey Stack — An open-source stack for aerial mapping work from imagery and datasets through photogrammetry processing.
- Aerial Perception Models and Datasets — Source-backed aerial dataset and model repositories for detection and tracking research and prototyping.
- Edge AI Perception Starter — A starting stack for prototyping aerial perception models before edge deployment work.
- Visual Perception Models and Data — Indexed model and dataset repositories for aerial visual perception research and prototyping.