{"repo":"drivendataorg/zamba","free":true,"listed":false,"github":"https://github.com/drivendataorg/zamba","clone":"git clone https://github.com/drivendataorg/zamba.git","description":"A Python package for identifying hundreds of kinds of animals, training custom models, and estimating distance from camera trap videos and images","language":"Python","stars":161,"topics":["machine-learning","gpu","videos","jungle","chimps","animals","conservation","ecology","video-processing","cli"],"license":"MIT","category":"machine-learning","readme_excerpt":"Zamba https://user-images.githubusercontent.com/46792169/138346340-98ee196a-5ecd-4753-b9df-380528091f9e.mp4 Zamba means \"forest\" in Lingala, a Bantu language spoken throughout the Democratic Republic of the Congo and the Republic of the Congo. zamba is a tool built in Python that uses machine learning and computer vision to automatically detect and classify animals in camera trap images and videos . You can use zamba to: - Identify which species appear in each image or video - Filter out blank images or videos - Create your own custom models that identify your species in your habitats - Estimate the distance between animals in the frame and the video camera - And more! 🙈 🙉 🙊 The official video models in zamba can identify blank videos (where no animal is present) along with 32 species common to Africa and 11 species common to Europe. The official image models identify species from throughout the world: lila.science covers 178 global species and groups, and speciesnet (a conversion of Google's SpeciesNet) covers a much larger taxonomy of over 2,000 classes. Users can also finetune models using their own labeled images and videos to then make predictions for new species and/or new ecologies. zamba can be used both as a command-line tool and as a Python package. It is also available as a user-friendly website application, Zamba Cloud. We encourage people to share their custom models trained with Zamba. If you train a model and want to make it available, please add it to the M","default_branch":null,"files":null,"tree":[],"storefront":"/r/drivendataorg","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/drivendataorg/zamba/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}