A. Moghimi, M. Welzel, T. Celik, and T. Schlurmann, "A Comparative Performance Analysis of Popular Deep Learning Models and Segment Anything Model (SAM) for River Water Segmentation in Close-Range Remote Sensing Imagery,"

An integration of Segment Anything Model, Molmo, and, Whisper to segment objects using voice and natural language.

This project leverages the segment anything model by Meta AI as a semi automated way of generating training data for training Mask-RCNN model and YOLO-V8 seg model for semantic/instance segmentation of tomato fruits images

Satellite Image Segmentation using MetaAI's SAM ( Segment Anything Model )