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p/picsell-ia-2
Open, collaborative, end-to-end Computer Vision Platform
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Picsell.ia β Open, collaborative, end-to-end Computer Vision Platform
Pierre-Nicolas TIFFREAU
1
β’
4yr ago
A platform allowing you to find and share your image datasets or trained models, build your computer vision project from scratch with a powerful annotation tool and track your experiments to deliver the best AI models in no time !
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Pierre-Nicolas TIFFREAU
Maker
Hey Product Hunters π Build your first Computer Vision project on Picsell.ia here π
https://picsellia.com
At Picsell.ia, we are dedicated to provide the best tools and workflows for data scientists and to integrate it in our platform ! Our goal is to reduce data scientist's frustration and project's failure rate πͺ It's been a year since we started developing those tools and we are already at our third release, still focused on computer vision right now. As we are a small team, it's not always easy to deliver such a complete product and to continue innovating on all the parts of an end-to-end computer vision platform. But today we are very proud to show you our fully redesigned platform, with many more features that I'm sure will accelerate your computer vision projects π β A dataset HUB to find and share your data with our community or your team β A model HUB that has the same purpose but for pre-trained models β Powerful image annotation tools where, for example, you can plug your AI model for pre-annotation or use our automatic segmentation tools to annotate 10x faster β Dahsboards and tables to track and compare your experiments β A serving engine allows you to run inference with any of your models right in the platform with a nice UI β A python SDK and a CLI to connect with all your favorite tools and processes β Version all your weights, datasets and checkpoints automatically thanks to our API β And of course you can invite your team, manage their permissions and work together on your projects ! Soon to come : π© One click training : Launch training on your data easily without having to worry about infrastructure π© Deployment : Choose how many GPU you wants and we will provision a GPU-enabled cluster with an API endpoint so you can access your model in a scalable, production environment π© Analytics engine : Analyze your training logs, data, results to provide you some insights on how to improve your models by tuning some parameters, annotate differently etc... I hope that I've awaken your curiosity and please remind that you can come talk to me or my team here or by sending us a nice email at
contact@picsellia.com
π
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4yr ago