Guidance for image-based identification of traded animals in highly occluded contexts.
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Updated
Sep 25, 2021 - Jupyter Notebook
Guidance for image-based identification of traded animals in highly occluded contexts.
Docker image for running the MegaDetector v4 camera-trap object detection model.
A desktop application that makes using MegaDetector's model easier
Filter cameras traps images with megadetector on a cluster
MegaDetector models served over FastAPI & visualized with Streamlit
The Image Level Label to Bounding Box (IL2BB) pipeline automates the generation of labeled bounding boxes by leveraging an organization’s previous labeling efforts.
Instructions to export megadetector v5 from PyTorch to ONNX and tools to use the exported model.
Detect Animals, Humans and Vehicles in Camera Trap Imagery. Powered by MegaDetector v5.
Aplicación de estrategias de deep-learning para la detección de animales en imágenes de fototrampeo
MegaDetector is an AI model that helps conservation folks spend less time doing boring things with camera trap images.
PyTorch Wildlife: a Collaborative Deep Learning Framework for Conservation.
Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
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