🐦 Bird Species Classification

Upload an image of a bird and the model will predict the species!

Model Details:

• Architecture: ConvNeXt-Base (87M parameters)
• Dataset: CUB-200-2011 (200 bird species)
• Test Accuracy: 83.64%
• Average Per-Class Accuracy: 83.29%

Upload a clear image of a bird to get started!

About This Model

This bird classifier was trained on the CUB-200-2011 dataset containing 200 North American bird species.

Key Features:

• ✅ 200 bird species classification
• ✅ State-of-the-art ConvNeXt architecture
• ✅ 83.64% test accuracy
• ✅ Real-time inference