Home Projects deep_learning_object_detection
deep_learning_object_detection
Python

deep_learning_object_detection

A paper list of object detection using deep learning.

by hoya012 · GitHub
Stars
Forks
Created
Last commit
Language
deep-learningdeep-neural-networksdeeplearningPython
View on GitHub
In plain words

Browse a collection of research papers on using deep learning for detecting objects in images.

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 →
deep_learning_object_detection — GitHub preview card
📈 Star history
11 39011 387
2026-07-042026-08-31
📈 Track deep_learning_object_detection

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

A paper list of object detection using deep learning.

deep_learning_object_detection has 11.4k stars on GitHub. It has been forked 2.8k times. deep_learning_object_detection is written mainly in Python. It has been in active development since 2018. Its main topics are deep-learning, deep-neural-networks, deeplearning, object-detection.

Frequently asked questions

What is deep_learning_object_detection?

A paper list of object detection using deep learning.

Is deep_learning_object_detection open source?

deep_learning_object_detection is an open-source project.

Is deep_learning_object_detection free?

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

What language is deep_learning_object_detection written in?

deep_learning_object_detection is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — deep_learning_object_detection

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

[![olud.ai](https://olud.ai/badge.php?tool=hoya012-deep-learning-object-detection)](https://olud.ai/project/hoya012-deep-learning-object-detection.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.