dog-qiuqiu/FastestDet
:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
This tool helps embed object detection capabilities directly into devices like security cameras, robots, or drones. It takes raw video or image feeds and identifies specific objects within them in real-time, outputting their locations. This is for engineers and developers working on resource-constrained embedded systems who need highly efficient object detection.
852 stars. No commits in the last 6 months.
Use this if you need extremely fast and lightweight object detection on edge devices with limited processing power, where traditional models are too slow or large.
Not ideal if you require the absolute highest accuracy for complex detection tasks and are not constrained by computational resources or device size.
Stars
852
Forks
152
Language
Python
License
BSD-3-Clause
Category
Last pushed
Mar 16, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/dog-qiuqiu/FastestDet"
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