yolov3 and Yolo-v2-pytorch

These two tools are competitors, as both are PyTorch implementations of different versions of the YOLO object detection models, with the choice depending on whether one prefers YOLOv3 or YOLOv2.

yolov3
64
Established
Yolo-v2-pytorch
50
Established
Maintenance 13/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Stars: 10,563
Forks: 3,448
Downloads: —
Commits (30d): 2
Language: Python
License: AGPL-3.0
Stars: 416
Forks: 123
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No Package No Dependents
Stale 6m No Package No Dependents

About yolov3

ultralytics/yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

This project helps quickly identify and locate specific items within images or video feeds. You feed it visual data, and it outputs bounding boxes and labels for the objects it recognizes. This is ideal for anyone who needs to automate the process of spotting things in visual media, such as security analysts, quality control inspectors, or autonomous system developers.

object detection computer vision visual inspection surveillance robotics

About Yolo-v2-pytorch

vietnh1009/Yolo-v2-pytorch

YOLO for object detection tasks

This project helps you automatically identify and locate specific objects within images and video feeds. You provide images or videos, and it outlines detected objects with their labels. It's designed for researchers, computer vision engineers, or anyone building applications that need to 'see' and understand content in visual data.

image-analysis video-surveillance autonomous-systems visual-inspection content-moderation

Related comparisons

yolov3 and yolov5 yolov3 and yolov3-tf2 yolov3 and yolo2-pytorch

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