为了使用YOLOv8架构训练FLIR ADAS v1和v2数据集,我们需要遵循几个关键步骤:数据准备、配置文件设置、模型训练、优化以及推理与可视化。 车载红外数据集FLIR ADAS v1和FLIR ADAS v2 ,其中v1训练集8862张,v2训…
Baseline accuracy for object detection was established using the YOLOX-m neural network designed for 640 X 640 images. Both the RGB and thermal detectors were pre-trained on MSCOCO data (https://arxiv.org/abs/2107.08430andhttps://github.com/Megvii-BaseDetection/YOLOX). The base neural networ...
车载红外数据集FLIR ADAS v1和FLIR ADAS v2 ,其中v1训练集8862张,v2训练集10742张,均已转为yolo格式,可直接用于训练。v1类别有3类:person bicycle car,v2类别有16类:0: person 1: bike 2: car 3: motor 4: bu…