https://drive.google.com/drive/u/0/folders/1cYw4O3rlggjy2cprfUVvZy0gNw9X9LJJ
https://drive.google.com/drive/u/0/folders/1ZiDpsFpdsUGK5UC0tPgqnl-RdPKx8Nkz
https://huggingface.co/datasets
https://visualdata.io/discovery
https://paperswithcode.com/datasets
https://toolbox.google.com/datasetsearch Google Dataset Search: Similar to how Google Scholar works, Dataset Search lets you find datasets wherever they are hosted, whether it’s a publisher’s site, a digital library, or an author’s web page. It’s a phenomenal dataset finder, and it contains over 25 million datasets.
https://www.kaggle.com/ Kaggle: Kaggle provides a vast container of datasets, sufficient for the enthusiast to the expert.
http://mlr.cs.umass.edu/ml/ UCI Machine Learning Repository: The Machine Learning Repository at UCI provides an up to date resource for open-source datasets.
https://www.visualdata.io/ VisualData: Discover computer vision datasets by category; it allows searchable queries.
https://guides.library.cmu.edu/machine-learning/datasets CMU Libraries: Discover high-quality datasets thanks to the collection of Huajin Wang, at CMU.
https://datasets.quantumstat.com/ The Big Bad NLP Database: This cool dataset list contains datasets for various natural language processing tasks, created and curated by Quantum Stat.
Even more: https://www.v7labs.com/blog/best-free-datasets-for-machine-learning https://pub.towardsai.net/best-datasets-for-machine-learning-data-science-computer-vision-nlp-ai-c9541058cf4f