Home Projects graspnet-baseline
graspnet-baseline
Python

graspnet-baseline

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

by graspnet · GitHub
Stars
Forks
Created
Last commit
Category
Language
3ddeep-learninggraspingPython
View on GitHub
In plain words

Run a model that detects the best ways to grasp objects for robotics or automation projects.

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 →
graspnet-baseline — GitHub preview card
📈 Star history
980979
2026-07-202026-08-31
📈 Track graspnet-baseline

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

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

graspnet-baseline has 979 stars on GitHub. It has been forked 222 times. graspnet-baseline is written mainly in Python. It has been in active development since 2020. Its main topics are 3d, deep-learning, grasping, graspnet-1billion.

Frequently asked questions

What is graspnet-baseline?

Baseline model for "GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping" (CVPR 2020)

Is graspnet-baseline open source?

graspnet-baseline is an open-source project.

Is graspnet-baseline free?

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

What language is graspnet-baseline written in?

graspnet-baseline is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — graspnet-baseline

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

[![olud.ai](https://olud.ai/badge.php?tool=graspnet-graspnet-baseline)](https://olud.ai/project/graspnet-graspnet-baseline.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.