Co-DETR-Car-Damage-Detector
Public这是一个基于深度学习的计算机视觉训练流程,用于检测汽车损伤。它使用改进后的Co-DETR学习器,该学习器集成了CBAM注意力机制、混合损失函数和Albumentations数据增强库。该流程在Colab平台上进行训练,能够识别和定位汽车车身的缺陷,例如划痕、凹痕和锈蚀。包含端到端的模型训练和定量评估。
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这是一个基于深度学习的计算机视觉训练流程,用于检测汽车损伤。它使用改进后的Co-DETR学习器,该学习器集成了CBAM注意力机制、混合损失函数和Albumentations数据增强库。该流程在Colab平台上进行训练,能够识别和定位汽车车身的缺陷,例如划痕、凹痕和锈蚀。包含端到端的模型训练和定量评估。