Shypd.aiThe largest open index of AI toolsSLEAP is an open-source deep learning framework for multi-animal pose tracking. It provides a GUI for active learning and proofreading, enabling rapid labeling of large datasets.
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SLEAP is an open-source deep learning framework specifically designed for multi-animal pose tracking. It allows researchers to accurately track and analyze the movements and interactions of various animals in video footage. The tool features an intuitive graphical user interface (GUI) that supports active learning and proofreading, significantly speeding up the labeling process for large datasets. SLEAP offers both single- and multi-animal pose estimation with flexible training strategies and customizable neural network architectures. It boasts fast training times, typically 15-60 minutes on a single GPU, and rapid inference speeds of up to 600+ FPS for batch processing, with less than 10ms latency for real-time applications. The framework also includes a flexible developer API for building integrated applications and customizations, and supports remote training/inference workflows without requiring GPUs.
Pricing & Plans
Open Source · Free