an edge-real-time anchor-free object detector with decent performance
Run an object detection model on embedded devices to identify objects in real-time.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimean edge-real-time anchor-free object detector with decent performance
edgeyolo has 525 stars on GitHub. It has been forked 71 times. edgeyolo is written mainly in Python. It has been in active development since 2022. edgeyolo is available under the Apache-2.0 license. Its main topics are anchor-free, ascend, computer-vision, deep-learning.
an edge-real-time anchor-free object detector with decent performance
edgeyolo is an open-source project. It is released under the Apache-2.0 license.
Yes. edgeyolo is free and open source — you can use, modify and self-host it.
edgeyolo is available under the Apache-2.0 license.
edgeyolo is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/lsh9832-edgeyolo.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.