Datasets › VisDrone
VisDrone
VisDrone is a large-scale benchmark with carefully annotated ground-truth for various important computer vision tasks, to make vision meet drones. The VisDrone2019 dataset is collected by the AISKYEYE team at Lab of Machine Learning and Data Mining, Tianjin University, China. The benchmark dataset consists of 288 video clips formed by 261,908 frames and 10,209 static images, captured by various drone-mounted cameras, covering a wide range of aspects including location (taken from 14 different cities separated by thousands of kilometers in China), environment (urban and country), objects (pedestrian, vehicles, bicycles, etc.), and density (sparse and crowded scenes). Note that, the dataset was collected using various drone platforms (i.e., drones with different models), in different scenarios, and under various weather and lighting conditions. These frames are manually annotated with more than 2.6 million bounding boxes of targets of frequent interests, such as pedestrians, cars, bicycles, and tricycles. Some important attributes including scene visibility, object class and occlusion, are also provided for better data utilization.
Source: https://github.com/VisDrone/VisDrone-Dataset Image Source: https://arxiv.org/pdf/2001.06303.pdf
Benchmarks archive 2025-07-28
All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.
| First row (archive order) | Paper | Code | ||||
|---|---|---|---|---|---|---|
| Object Detection | VisDrone-DET2019 | CZ Det. AP50 58.3 | Cascaded Zoom-in Detector for High Resolution Aerial Images | akhilpm/dronedetectron2 | 5 | Compare |
Papers archive 2025-07-28
5 shown of 5 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 73. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.
| Date | Samples run Syntology | |||
|---|---|---|---|---|
| LEGNet: Lightweight Edge-Gaussian Driven Network for Low-Quality Remote Sensing Image Object Detection | 1 | 1 | 18 Mar 2025 | not harvested |
| Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection | 1 | 1 | 18 Apr 2023 | not harvested |
| Cascaded Zoom-in Detector for High Resolution Aerial Images | 1 | 1 | 15 Mar 2023 | not harvested |
| RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection | 1 | 1 | 18 Aug 2022 | not harvested |
| A Normalized Gaussian Wasserstein Distance for Tiny Object Detection | 3 | 1 | 26 Oct 2021 | ran 2 of 2 samples (0 unverified) |
Dataset loaders archive 2025-07-28
2 loaders as listed in the archive; links are outbound and not re-checked here.
Tasks archive 2025-07-28
License archive 2025-07-28
No licence recorded in the archive. Absence here is not a statement about the dataset's terms.
Modalities archive 2025-07-28
Languages archive 2025-07-28
No language tagged.
Variants archive 2025-07-28
- VisDrone
- VisDrone-DET2019
- VisDrone-DET2019
- DGTA-VisDrone
4 variant names, as the archive lists them.
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