自动驾驶汽车的语义分割使用TensorFlow从头开始实现U-Net架构，该存储库达到97%...，
Semantic Segmentation for Self-Driving Cars Implementing a U-Net architecture from scratch using TensorFlow, this repository achieves 97% accuracy in semantic image segmentation on the CARLA self-driving car dataset. The model accurately classifies objects, crucial for autonomous vehicles environment understanding. (2023-10-14, Others, 0KB, 下载0次)