Study
Computer Vision · Segmentation and U-Net
Semantic segmentation as per-pixel classification, the U-Net encoder–decoder with skip connections, Dice/IoU, and a tiny U-Net trained on synthetic shapes.
- Segmentation classifies every pixel, so the output has the same height and width as the input.
- U-Net's skip connections hand fine spatial detail from the encoder straight to the decoder.