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Zamba Cloud: No-Code Custom AI for Camera Trap Species Classification
Автор: WILDLABS.NET
Загружено: 2025-07-16
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Zamba Cloud: No-Code Custom AI for Camera Trap Species Classification is a 2024 WILDLABS Awards Project from Peter Bull, Emily Dorne, Jay Qi, and Justin Chung Clark from DrivenData that provides a simple way to train custom species classification models on camera trap data and process that data without writing any code.
Watch the video they created to see why a tool like Zamba Cloud is necessary, how they went about creating it, and how users can employ it in their work.
To learn more, visit their project discussion thread here: https://wildlabs.net/discussion/wildl...
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