Detect objects in images using a well-structured implementation of YoloV3 in TensorFlow.
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 anytimeYoloV3 Implemented in Tensorflow 2.0
yolov3-tf2 has 2.5k stars on GitHub. It has been forked 890 times. yolov3-tf2 is written mainly in Jupyter Notebook. It has been in active development since 2019. yolov3-tf2 is available under the MIT license. Its main topics are deep-learning, machine-learning, neural-network, object-detection.
What is yolov3-tf2?
YoloV3 Implemented in Tensorflow 2.0
Is yolov3-tf2 open source?
yolov3-tf2 is an open-source project. It is released under the MIT license.
Is yolov3-tf2 free?
Yes. yolov3-tf2 is free and open source — you can use, modify and self-host it.
What license does yolov3-tf2 use?
yolov3-tf2 is available under the MIT license.
What language is yolov3-tf2 written in?
yolov3-tf2 is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/zzh8829-yolov3-tf2.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.