In this article, we explore how several foundation models in VLMs, Image Segmentation, and multi-modal models like CLIP help in open-ended class agnostic segmentation and detection tasks. ...

In this article, we explore the DINOv2 Self-Supervised Computer Vision model for image classification, video classification, semantic segmentation, and depth estimation. ...

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. ...