We are proud to offer the Sama-Coco dataset, a relabelling of the Coco-2017 dataset by our own in-house Sama associates (here’s more information about our people!). We invite the Machine Learning (ML) community to use it for anything you would like to do – all free of charge and ungated.
This is part of our ongoing effort to redefine data quality for the modern age, and to contribute to the wider research and development efforts of the ML community. Here are the ungated links to the two datasets (both covered by the Creative Commons license) so that you can get started right away.
Avatars are most vulnerable in public worlds where "rippers" can easily scrape the asset data.
This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later.
Even with a well-managed account, users may encounter problems. Here are some common issues and how to address them. ripperstore account
While registration is typically open to the public, the site frequently changes domains or goes offline due to DMCA takedowns and reports from the creator community.
In short: a RipperStore account is a .
: Provide a valid email address and create a unique username.
An account with is used primarily within the VRChat community to access and distribute "ripped" (stolen or extracted) virtual avatars. Because the platform's core business involves the redistribution of copyrighted assets without creator permission, it is highly controversial and often faces legal and ethical scrutiny. Key Information about RipperStore Accounts Avatars are most vulnerable in public worlds where
: Logged-in users must navigate to the Users tab on the left-side panel under the "Popular" section. The +Invite button is located directly next to the user search bar. 🛠️ Core Benefits of Having an Account
Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision data labeling.
