Category: Image Segmentation

In this article, we will be pretraining a semantic segmentation model on the COCO dataset and run inference to analyze the results. ...

In this article, we explore Fast Segment Anything, a CNN based alternative approach to the original Transformer based Segment Anything Model. ...

In this article, we explore HQ-SAM, a modified version of SAM that overcomes some of the limitations when trying to segment small and intricate objects. ...

In this article, we use SAM2 and Molmo for carrying out image segmentation using natural language. We provide a prompt to Molmo, get the coordinates, and pass these to SAM2.1 to segment the objects ...

In this article, we use different Torchvision backbones for creating DeepLab segmentation models and train it on the Pascal VOC semantic segmentation dataset. ...