STK-YOLO
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/stk-yolo
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资源简介：
The VisDrone2019 dataset [34], released by theAISKYEYE team of the Machine Learning and DataMining Laboratory at Tianjin University, is a large\u0002scale benchmark specifically designed for UAV-based object detection tasks. The dataset comprises 10,209high-resolution static images, captured across 14 citiesin China, covering diverse environmental conditions, in\u0002cluding daytime and nighttime scenarios. The dataset isdivided into four subsets: 6,471 training images, 548validation images, 1,610 test images, and 1,580 challengeimages. Images were acquired using professional UAVphotography equipment, ensuring high quality and richdetails
提供机构：
jinglong xie
