Question: I need a tool to convert a large collection of image URLs into a dataset, do you know of any?

If you have a big list of image URLs you want to turn into a dataset, LAION is worth a look. The project offers a tool called img2dataset for the job. Along with that, it offers several datasets, including LAION-400M and LAION-5B with millions of image-text pairs. That could be useful if you want to turn your image URLs into a big dataset and tap into machine learning resources for free.

Another good option is Label Studio. It can handle several data types, including images, and offers customizable layouts and templates for creating training data. It also can connect to cloud storage systems and use ML-assisted labeling, so it's adaptable to your needs. Label Studio is open-source and free, though it has more features in its enterprise version.

For a more complete platform, check out SuperAnnotate. This all-purpose enterprise platform handles lots of data types and has AI, QA and project management tools. It also has tools to create high-quality datasets and to deploy models to multiple environments. The platform also has data integration and customizable UI, so it should be good for lots of GenAI chores.

Last, Roboflow is worth a look if you're building computer vision models. It's got automated annotation tools and a lot of other tools for managing and deploying visual data. With AI-assisted labeling and access to more than 50,000 pre-trained models, Roboflow can help you get to production faster while keeping your project secure and private.