Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
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Updated
Oct 18, 2024 - Python
Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
Aplicación de estrategias de deep-learning para la detección de animales en imágenes de fototrampeo
Detect Animals, Humans and Vehicles in Camera Trap Imagery. Powered by MegaDetector v5.
Instructions to export megadetector v5 from PyTorch to ONNX and tools to use the exported model.
The Image Level Label to Bounding Box (IL2BB) pipeline automates the generation of labeled bounding boxes by leveraging an organization’s previous labeling efforts.
MegaDetector models served over FastAPI & visualized with Streamlit
Filter cameras traps images with megadetector on a cluster
A desktop application that makes using MegaDetector's model easier
Docker image for running the MegaDetector v4 camera-trap object detection model.
Guidance for image-based identification of traded animals in highly occluded contexts.
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