Home Projects tensorflow-yolov3
tensorflow-yolov3
Python

tensorflow-yolov3

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

by YunYang1994 · GitHub
Stars
Forks
License
Created
Last commit
Language
deep-learningobject-detectiontensorflowMITPython
View on GitHub
In plain words

Implement an object detection system using the YOLOv3 model with TensorFlow 2.0.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
tensorflow-yolov3 — GitHub preview card
📈 Star history
3 6123 610
2026-07-072026-08-31
📈 Track tensorflow-yolov3

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

tensorflow-yolov3 has 3.6k stars on GitHub. It has been forked 1.3k times. tensorflow-yolov3 is written mainly in Python. It has been in active development since 2018. tensorflow-yolov3 is available under the MIT license. Its main topics are deep-learning, object-detection, tensorflow, yolov3.

Frequently asked questions

What is tensorflow-yolov3?

🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

Is tensorflow-yolov3 open source?

tensorflow-yolov3 is an open-source project. It is released under the MIT license.

Is tensorflow-yolov3 free?

Yes. tensorflow-yolov3 is free and open source — you can use, modify and self-host it.

What license does tensorflow-yolov3 use?

tensorflow-yolov3 is available under the MIT license.

What language is tensorflow-yolov3 written in?

tensorflow-yolov3 is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — tensorflow-yolov3

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=yunyang1994-tensorflow-yolov3)](https://olud.ai/project/yunyang1994-tensorflow-yolov3.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.