Drone vs Bird (Drone vs Bird Detection Challenge)|无人机检测数据集|图像识别数据集

For the Drone-vs-Bird Detection Challenge 2021, 77 different video sequences have been made available as training data. These video sequences originate from the previous installment of the challenge and were collected using MPEG4-coded static cameras by the SafeShore project, by the Fraunhofer IOSB research institute and by the ALADDIN2 project. On average, the video sequences consist of 1,384 frames, while each frame contains 1.12 annotated drones. The video sequences are recorded with both static cameras and moving cameras and the resolution varies between 720×576 and 3840×2160 pixels. In total, 8 different types of drones exist in the dataset , i.e. 3 with fixed wings and 5 rotary ones. For each video, a separate annotation file is provided, which contains the frame number and the bounding box (expressed as [topx topy width height]) for the frames in which drones enter the scenes.