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.
In studies involving bone healing and regenerative medicine, S-EYE 2.0 is used to count specific cell types and measure marrow spaces at various power levels (e.g., 40x lens).
Users can perform dynamic measurements directly on the live feed. This includes calculating the numbers of osteoblasts, osteocytes, and blood vessels in scientific research, as well as general linear and geometric measurements. s-eye 2.0 software
Displays real-time camera information and allows for quick views of measurement results. In studies involving bone healing and regenerative medicine,
The software utilizes GPU rendering for real-time image previews, supporting high-resolution displays with high frame rates to ensure smooth monitoring. and blood vessels in scientific research
The S-EYE 2.0 interface is structured to prioritize ease of use without sacrificing technical depth:
Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision data labeling.
