Sound-based-bird-species-detection and Bird-sound-classification-using-CNN
These two tools are competitors, as both are Python-based deep learning models for bird species classification from audio recordings, with "Sound-based Bird Classification" further developed into a Flask web application.
About Sound-based-bird-species-detection
m-kortas/Sound-based-bird-species-detection
Sound-based Bird Classification - using AI, acoustics and ornithology to classify birds in the environment, an environmental awareness project (Web Application, Flask, Python)
This web application helps ornithologists, environmental researchers, and nature enthusiasts identify bird species from their songs. You input an audio recording of a bird, and the application outputs the likely species of the bird. It's designed for anyone interested in cataloging or studying bird populations through their vocalizations.
About Bird-sound-classification-using-CNN
DhanushS-11/Bird-sound-classification-using-CNN
Engineered a robust deep learning model using Convolutional Neural Networks and TensorFlow to classify 114 bird species based on audio recordings. Model achieved an impressive accuracy of 78.75%, providing valuable insights for conservationists and ecologists in the wildlife & ecological research sectors.
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