Free Datasets for Machine Learning & Deep Learning

Are you looking for free / popular datasets to use for your machine learning or deep learning project? Look no further! In this blog post, we will provide an overview of some of the best free datasets available for machine learning and deep learning. These datasets can be used to train and evaluate your models, and many of them contain a wealth of valuable information that can be used to address a wide range of real-world problems. So, let’s dive in and take a look at some of the top free datasets for machine learning and deep learning!

Here is the list of free data sets for machine learning & deep learning publicly available:

• Machine learning problems datasets
  • UC Irvine Machine Learning Repository: A repository of 560 datasets suitable for traditional machine learning algorithm problems such as classification and regression
  • Public available dataset through public APIs: A list of 650+ datasets available via public API
  • Penn machine learning dataset: The data sets cover a broad range of applications, and include binary/multi-class classification problems and regression problems, as well as combinations of categorical, ordinal, and continuous features. The good part if that the datasets is available in tabular form that makes it very useful for training models with traditional machine learning algorithms
  • Datasets linked to the papers: A set of 3000+ datasets linked with the white papers; My favorite one from https://www.paperswithcode.com
  • OpenML.org dataset: Mostly tabular datasets (3200+) suitable for traditional machine learning algorithms
  • Amazon’s AWS datasets
  • TensorFlow datasets
• Computer vision problems datasets
  • Visual data: A collection of 526 datasets for solving computer vision problems
  • Roboflow computer vision datasets: A list of computer vision datasets in many popular formats (including CreateML JSON, COCO JSON, Pascal VOC XML, YOLO v3, and Tensorflow TFRecords)
• Others
  • Kaggle datasets: Search engine for machine learning datasets
  • Jupyter datasets: A list of commonly available datasets and data search engines
  • IBM data exchange (Data Asset Exchange): It is a new initiative. Currently, there are 25+ data sets across various domains such as Audio, Language Modeling, Time Series, Speech, Image, etc.
  • Google dataset search engine: Searching for datasets returns the summary results and links to various data sources
  • Awesome public datasets: A list of 650+ datasets curated from blogs, answers, and user responses.
  • Wikipedia’s list of machine learning datasets
  • Quora.com
  • The datasets subreddit
• Meta portals (they list open data repositories):
  • DataPortals.org
  • OpenDataMonitor.eu

In conclusion, free datasets for machine learning and deep learning are an invaluable resource that can provide researchers with the data they need to develop innovative models. With the revolution of big data, more and more datasets have become available for free, allowing researchers to explore even larger amounts of data and create models with greater accuracy. Free datasets can also be used by individuals or companies who wish to learn more about data science but do not have the resources or knowledge to acquire a large dataset of their own.