Sign inGet started
Repository · GitHub

experiencor/keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Ownerexperiencor
License (as declared)MIT
Stars1,731
Forks768
Main languageJupyter Notebook
Created22 March 2017
Last updated at source24 March 2023
jupyter notebookconvolutional-networksdeep-learningrealtimeregressionyolo2
Embed this entry
<iframe src="https://silytics.si/embed/item/25015b13-8e03-431b-9f4c-c1b22da91092" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from experiencor

Silytics shows public metadata from GitHub and links to the original. Information may be incomplete or out of date. Last refreshed 15 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.