Resources of semantic segmantation based on Deep Learning model
Role in this project:
ML Engineer Contributions:112 commits, 1 PR, 123 pushes in 2 years 4 months
Contributions summary:Alan implemented a U-net architecture for semantic segmentation. They defined the model structure, including convolutional layers, batch normalization, and upsampling operations. The user also created training and testing scripts, incorporating data loading, loss calculation, and model saving functionalities. Furthermore, they updated and created several related files, including model and network files.
deep-learningpytorchsemantic-segmantationsemantic
Contributions:16 commits, 20 pushes, 2 branches in 2 years 6 months