ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.
-
Updated
Mar 3, 2023 - Jupyter Notebook
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 Watching App
ML app that recognizes bird by its photo
Add a description, image, and links to the bird-classification topic page so that developers can more easily learn about it.
To associate your repository with the bird-classification topic, visit your repo's landing page and select "manage topics."