Data checked 2026-08-13. Data may be stale - beyond the review cycle.
Review cycles are documented on the Methodology page. Methodology
dronefreak/VisDrone-dataset-python-toolkit
Software Tool Tier A perception_ai Apache-2.0
VisDrone aerial object detection toolkit with 33 models (Torchvision + YOLO), training, evaluation, video inference, benchmarking, and annotation conversion.
How is it used?
Start from the recorded entry points below, then validate against the technical checklist.
- Official site https://huggingface.co/spaces/dronefreak/visdrone-aerial-detection
- Repository https://github.com/dronefreak/VisDrone-dataset-python-toolkit
- Documentation https://huggingface.co/spaces/dronefreak/visdrone-aerial-detection
Technical checklist
- OK License identified Recorded: Apache-2.0
- 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 | Apache-2.0 — Inferred |
|---|---|
| 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 | 2026-08-12 |
| Last checked | 2026-08-13 |
| First seen | Not recorded |
Dataset facts
Facts above come from the official dataset card only; unconfirmed fields stay unknown.
Related Resources & Dependencies
- visdrone-dataset — supports (confirmed)
Update Events
New resource: dronefreak/VisDrone-dataset-python-toolkit
New repository resource added by the sprint promote pipeline.