W

Wav2vec2 Vd Bird Sound Classification

Developed by greenarcade
A bird sound classification model trained on wav2vec2-base, capable of identifying 21 bird species from the Vedanthangal Bird Sanctuary in India
Downloads 133
Release Time : 4/7/2025

Model Overview

This model is an audio classification model specifically designed to identify sounds of particular bird species from audio recordings. Trained on a custom dataset, it is suitable for ecological research and bird conservation applications.

Model Features

High Accuracy
Achieves 91.11% accuracy and an F1 score of 89.41 on a custom bird dataset
Fast Inference
Average inference speed of 0.476 seconds
Regional Coverage
Focuses on identifying 21 local bird species from the Vedanthangal Bird Sanctuary

Model Capabilities

Bird Sound Recognition
Audio Classification
Ecological Monitoring

Use Cases

Ecological Research
Bird Population Monitoring
Automatically identifies bird species distribution in specific areas through audio recordings
Helps ecologists track changes in bird populations
Nature Conservation
Sanctuary Management
Automatically monitors the activities of specific bird species within protected areas
Provides data support for sanctuary management decisions
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
Š 2025AIbase