ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.

Signature Work @ DKU: Large Scale Bird Sound Recognition in China Region

This is my solution for the RecVis Challenge where i ended 1st on fine-grained classification on bird dataset

Bird Classification application using yolov8 model trained on the CalTechBirds dataset. Segmentation was also implemented using UNet.

Bird Watching App

ML app that recognizes bird by its photo