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Welcome to our Wildlife Conservation Web Application. We're using state-of-the-art technology to drive the mission of Wildlife Conservation.
🌿Count with Precision: Our tech doesn't just count animals; it spotlights each one uniquely. 🐾✨ Computer do the Tagging
🔍Classify, Track, Preserve: Beyond counting, this project also classifies and tracks, capturing the essence of conservation. An interface where nature and technology dance in harmony. 🌿🤖
Anyone collecting camera trap photos can upload them to Wildlife Project. Photos are stored online so you can access them from anywhere, from any device or computer, even out in the field.
Animals in your photos are automatically identified using machine learning technology. Thousands of images can be tagged within minutes, saving you time to do the important work.
$ pip install streamlit
# Copy an image:
$ streamlit hello
$ python -m streamlit hello
/src
$ streamlit run app.py
#or
$ python -m streamlit run app.py
>>>>>>> d8974f33c134185fd6b8a6169003ca8798f62a83