# Ecological Monitoring

This is a semantic segmentation model based on the SegFormer architecture, specifically optimized for coral reef ecosystem image segmentation tasks and fine-tuned on the Coralscapes dataset.

An image feature model based on the Swin-L architecture, specifically designed for animal re-identification tasks, with wide applications in the field of ecology.

Bird sound recognition model fine-tuned based on Microsoft's WavLM-Large model

An audio classification model fine-tuned based on facebook/wav2vec2-base for identifying bird sounds

This is a binary classification model trained using AutoTrain, specifically designed for wasp image classification tasks.

This is an image classification model for identifying and classifying marine mammals, with an accuracy rate of 84.72%.