6 projects
YOLOv5
YOLOv5 is a computer vision model and framework for real-time object detection, offering state-of-the-art performance, easy training and deployment capabilities, and extensive documentation. It implements the YOLO (You Only Look Once) architecture with improvements for speed and accuracy.
Contributors
8,820
Organizations
701
Software value
$804K
Detectron2
Detectron2 is a computer vision library developed by Facebook AI Research (FAIR) that implements state-of-the-art object detection algorithms. It provides a modular, flexible platform for implementing and training computer vision models, with support for tasks like object detection, instance segmentation, keypoint detection, and panoptic segmentation.
Contributors
4,297
Organizations
596
Software value
$2.3M
DeepLabCut
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
This project hasn't been onboarded to LFX Insights.
PaddleSeg
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.
This project hasn't been onboarded to LFX Insights.
Ultralytics YOLOv3: PyTorch to TFLite Conversion
YOLOv3 in PyTorch > ONNX > CoreML > TFLite
This project hasn't been onboarded to LFX Insights.
YOLO11
Ultralytics YOLO11 🚀
This project hasn't been onboarded to LFX Insights.