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microsoft/CameraTraps

0
View on GitHub↗
1,014 stars·293 forks·Python·MIT·7 viewsmicrosoft.github.io/Biodiversity↗

CameraTraps

Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.

Features

  • Computer Vision Frameworks - Deep learning framework for wildlife image analysis.

Star history

Star history chart for microsoft/cameratrapsStar history chart for microsoft/cameratraps

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to CameraTraps

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See all 27 alternatives to CameraTraps→

Frequently asked questions

What does microsoft/cameratraps do?

Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.

What are the main features of microsoft/cameratraps?

The main features of microsoft/cameratraps are: Computer Vision Frameworks.

What are some open-source alternatives to microsoft/cameratraps?

Open-source alternatives to microsoft/cameratraps include: msracver/deformable-convnets — Deformable-ConvNets is a computer vision framework and a collection of neural network components designed to implement… deci-ai/super-gradients — Super-Gradients is a PyTorch computer vision framework and training library designed for the full lifecycle of vision… ethz-asl/rovio. ewenwan/apollo — An open autonomous driving platform 百度自动驾驶开源框架. ewenwan/houghforest. bcmi/libcom — Image composition toolbox: everything you want to know about image composition/compositing or object/subject…