object-detection-opencv and ONNX-YOLOv8-Object-Detection

object-detection-opencv
51
Established
ONNX-YOLOv8-Object-Detection
50
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 24/25
Stars: 510
Forks: 357
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stars: 481
Forks: 120
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About object-detection-opencv

arunponnusamy/object-detection-opencv

YOLO Object detection with OpenCV and Python.

This tool helps developers integrate real-time object detection into their applications. You feed it an image or video, and it identifies and labels specific objects within the visual input. It's designed for software developers who need to add computer vision capabilities to their projects, such as for surveillance, automated analysis, or interactive systems.

computer-vision-development image-analysis-tools real-time-detection application-development

About ONNX-YOLOv8-Object-Detection

ibaiGorordo/ONNX-YOLOv8-Object-Detection

Python scripts performing object detection using the YOLOv8 model in ONNX.

This project helps you automatically identify and locate objects within images or video streams. You provide an image, a video file, or a live webcam feed, and it outputs the same visual content with detected objects highlighted and labeled. This is useful for anyone needing to automate visual monitoring or analysis, such as security personnel, quality control inspectors, or researchers analyzing visual data.

visual-monitoring security-surveillance quality-control inventory-management content-analysis

Related comparisons

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