iArunava/YOLOv3-Object-Detection-with-OpenCV
This project implements a real-time image and video object detection classifier using pretrained yolov3 models.
This tool helps you automatically identify and label common objects within your images or videos. You feed it a picture or a video stream, and it outputs the same visual content with bounding boxes and names around detected items like people, cars, or animals. It's ideal for anyone who needs to quickly scan visual media for specific objects.
356 stars. No commits in the last 6 months.
Use this if you need to detect and classify common objects in images, recorded videos, or a live webcam feed.
Not ideal if you need to detect highly specialized or uncommon objects not found in standard public datasets, or require extremely high precision for critical applications.
Stars
356
Forks
176
Language
Python
License
MIT
Category
Last pushed
Sep 22, 2023
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