Object Detection and Segmentation

Implemeted the following from sracth by following the research papers:

YOLO:

Implemented from scratch based on the original research paper, YOLO (You Only Look Once) is a real-time object detection algorithm that efficiently processes images in a single pass, providing high accuracy and speed.

SOLO:

Developed from the ground up using research paper insights, SOLO (Segmentation of Objects by Learning Only) is a sophisticated instance segmentation model that excels in precisely delineating individual object instances within an image.

SegFormer:

Constructed from the research paper, SegFormer is a cutting-edge semantic segmentation model that adopts a transformer-based architecture, demonstrating state-of-the-art performance in pixel-level image segmentation tasks.

Code: click here