A treasure chest for visual classification and recognition powered by PaddlePaddle
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Updated
May 30, 2024 - Python
A treasure chest for visual classification and recognition powered by PaddlePaddle
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
RepVGG: Making VGG-style ConvNets Great Again
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
The basic course of artificial intelligence of BJTU, 12 kinds of animal recognition based on paddlepaddle framework
Python packaged version of repvgg and repvggplus
Deep Neural Network Architectures with dlib
Object Classification Training Framework
A PaddlePaddle version image model zoo.
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