Coldpress AI - All your machine learning data needs under one roof

Coldpress AI offers open-source datasets with uniform metadata for easy discovery and download. Our catalog includes agritech, logistics, AR/VR and is expanding daily to become the go-to destination, eliminating the fragmented searches that waste weeks.

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Hello hunters of great products! I'm thrilled to launch a community-first product for Coldpress AI – a data interface to help you find the dataset of your dreams and get going on your ML journey! We're launching with a focus on computer vision data, with much more to come. In a world where fantastic open ML models are aplenty, not being able your hands on good data quickly can be a big let down. In my life building software, it somehow always seemed weird that I had to keep visiting arbitrary websites to get my hands on fantastic datasets that are out there thanks to thousands of researchers, enthusiasts, and organizations. While I would inevitably find something, the process would leave me wanting something better. To pay it forward, we at Coldpress created an open data platform where you can find thousands of datasets ready to use for your projects. What sets this apart? It's simple: 1. quality (manually vetted, diverse, pre-labelled datasets), and 2. quantity (thousands of them) There are a few places where you can find computer vision datasets today (Kaggle, HuggingFace, Roboflow, etc) - and we love them all and are grateful for what they do. However, we think that the AI community deserves an open dataset pipeline that plugs straight into your ML infrastructure and makes your life just that little bit easier. There's so much more to come! We're treating November as our month of community launches, which means you'll see new things from us every few days. A data exploration library, command-line interface, API access, and so much more. We want to make sure that data discovery becomes a 2-hour problem for everyone, instead of the weeks and months that it can sometimes take today. Oh - and we're here to listen! If there's a type of dataset you're looking for and can't find it, simply let us know and we'll find something that fits what you want. Thank you for being part of our launch. Dive in and start discovering the datasets that will drive tomorrow’s AI breakthroughs!
congratulations 👏🎉
Super cool product, will definitely try it out. Congrats on the launch team!
Please do! Let me know if you find something wrong or missing!
Congratulations on the launch to you and your team, Abhishek! Looks like a product with a lot of integrated features - plenty of use cases.
Wow, Coldpress AI sounds like a game-changer for machine learning data! I love the idea of having open-source datasets with uniform metadata, making it easy to discover and download. I'm curious, how do you ensure the quality and accuracy of the datasets? Also, have you considered collaborating with universities or research institutions for additional datasets? Keep up the great work!
This was the part that actually took a decently long time, Valeriia. We collected these through a combination of first-hand experience with the data and some in-house LLM trickery to understand the listed datasets in depth, and then bring the best to the community.
Love the use cases of this product. Congratulations on the launch!
Thanks Arpit, I agree. The use-cases are entirely up to one's imagination!
useful one
Spectacular! Absolutely love the quality of the dataset you guys provide :D
Congratulations for the launch at first. As an amateur data analyst I will definitely look into it to discover more. Good job, guys!
Please do, Khagani! Let me know if you face any issues or if you would like me to add anything!
Congratulations on the launch, ! Coldpress AI looks like a really amazing tool for ML enthusiasts with its vast, curated marketplace for computer vision datasets. (not entirely sure I know exactly means haha!) I'm curious, how does Coldpress AI ensure the quality and diversity of datasets, and what's your process for vetting them? Like for example what does the cleaning data process look like? or is that more so on the ML side?
Curation was the part that actually took a decently long time, Daniel. We collected these through a combination of first-hand experience with the data and some in-house LLM trickery to understand the listed datasets in depth, and then bring the best to the community.
that makes sense!
Congratulations on the launch
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