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VisDrone2019-DET Dataset

Overview

VisDrone2019-DET is a large-scale aerial object detection dataset captured by drone-mounted cameras. The dataset contains images collected in diverse urban and rural environments across multiple cities and is designed for benchmarking object detection algorithms in UAV applications.

Statistics

Split Images
Train 6,471
Validation 548

Classes

  • Pedestrian
  • People
  • Bicycle
  • Car
  • Van
  • Truck
  • Tricycle
  • Awning-Tricycle
  • Bus
  • Motor

Annotations

  • Bounding box annotations in PascalVOC format

Applications

  • Object Detection
  • Small Object Detection
  • UAV Vision
  • Autonomous Drones
  • Traffic Monitoring
  • Surveillance Research

Original Dataset Sources

Repository

Paper: Detection and Tracking Meet Drones Challenge

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