WongKinYiu/ScaledYOLOv4
Scaled-YOLOv4: Scaling Cross Stage Partial Network
This project offers powerful tools for recognizing specific objects within images and video feeds. It takes visual data as input and outputs bounding boxes around detected objects, along with their labels and confidence scores. This is ideal for anyone who needs to automatically identify and track items or people in visual content.
2,028 stars. No commits in the last 6 months.
Use this if you need highly accurate and fast object detection capabilities for tasks like surveillance, quality control, or autonomous navigation.
Not ideal if you are looking for an off-the-shelf application and do not have programming or machine learning expertise to implement and fine-tune the models.
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2,028
Forks
568
Language
Python
License
GPL-3.0
Category
Last pushed
Nov 03, 2024
Commits (30d)
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