Unet-Segmentation

Real‑time segmentation optimized for mobile and edge.

UNet is a machine learning model that produces a segmentation mask for an image. The most basic use case will label each pixel in the image as being in the foreground or the background. More advanced usage will assign a class label to each pixel. This version of the model was trained on the data from Kaggle's Carvana Image Masking Challenge (see https://www.kaggle.com/c/carvana‑image‑masking‑challenge) and is used for vehicle segmentation.

Note: Unet-Segmentation cannot be downloaded directly due to licensing restrictions. You can export a model ready for on-device deployment using the AI Hub service.