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It provides all you need to build and deploy computer vision models, from data annotation and organization tools to scalable deployment solutions that work across devices. | It is an open-source package that combines threeJS and Stable diffusion to build a virtual photo studio for product photography. Load a 3D model into the browser and virtual shoot it in any kind of scene you can imagine. |
Search, curate, and manage visual data;
Designed for ultra-fast labeling in the browser;
Tools to build accurate models;
Deploy custom and foundation models in minutes;
Manage annotation projects across multiple work streams | Create product lifestyle photos in any backdrop you can imagine, without a physical photoshoot;
Generate synthetic images of an item in a variety of scenes. Useful when training object detection models;
Upload your game assets and generate level art around it to previsualize scenes |
Statistics | |
GitHub Stars - | GitHub Stars 447 |
GitHub Forks - | GitHub Forks 28 |
Stacks 6 | Stacks 1 |
Followers 6 | Followers 1 |
Votes 0 | Votes 0 |
Integrations | |

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.

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Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

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