Object Detection Models

12,673

835

$4.1M

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.

8,829

713

$802K

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.

4,303

603

$2.3M

DeepLabCut

DeepLabCut is an open-source toolbox for markerless pose estimation of animals performing various behaviors using deep learning. It implements a transfer learning approach to adapt deep neural networks pre-trained on human pose estimation to animal pose tracking with minimal training data.

1,838

157

$3.4M

PaddleSeg

PaddleSeg is a deep learning image segmentation toolkit based on PaddlePaddle framework that provides high-performance semantic segmentation, interactive segmentation, and panoptic segmentation models along with training and deployment solutions

1,812

$6.9M

MMAction2

MMAction2 is an open-source toolbox for video understanding and action recognition tasks. It provides a comprehensive collection of deep learning models, training frameworks, and evaluation tools for video-based tasks like action recognition, temporal action detection, and skeleton-based action recognition.

1,201

102