Deep learning datasets are collections of data that are used to train and test deep learning models. They are typically large, complex datasets that contain a variety of data types, such as images, text, audio, and video. Deep learning datasets can be used to develop and evaluate deep learning models for a variety of tasks, such as image classification, object detection, natural language processing, and speech recognition.
In this article, ilovephd listed the 10 important websites that provide free datasets in the area of deep learning.
10 Deep Learning Data Sets for Free Download
1. Kaggle Datasets
Kaggle Datasets is a collection of datasets used for deep learning and machine learning. It includes a wide variety of data types, such as images, text, audio, and video. The datasets are sourced from a variety of sources, including government, academic, and private organizations. Kaggle Datasets is a great resource for anyone looking to explore and learn more about deep learning and machine learning.
2. UCI Machine Learning Repository
The UCI Machine Learning Repository is a collection of databases, domain theories, and data generators that are used by the machine learning community for the empirical analysis of machine learning algorithms.
It is one of the most widely used repositories for machine learning research and is widely used in deep learning research. It contains a variety of datasets from different domains, such as text, image, audio, and video.
The datasets are organized into categories, such as classification, regression, clustering, and recommendation systems.
3. Google Dataset Search
Google Dataset Search is a search engine from Google that helps people discover datasets that are available online. It allows users to find datasets stored in thousands of repositories across the web, from government and research organizations to universities and other organizations. The search engine is powered by a deep learning model that is trained to understand the contents of datasets and match them to user queries.
4. Deep Learning Datasets
Deep learning datasets are collections of data specifically designed for use in deep learning models. These datasets are typically large and complex, containing hundreds of thousands or even millions of data points. Deep learning datasets are used to train deep learning models, which are algorithms that can learn from data and make predictions. Examples of deep learning datasets include image datasets for computer vision, text datasets for natural language processing, and audio datasets for speech recognition.
5. OpenML
OpenML datasets are a collection of datasets from the OpenML platform, which is a platform for sharing, discovering, and analyzing machine learning data. These datasets are used for deep learning research and development and can be used to train and evaluate deep learning models. They include a variety of datasets from different domains, such as computer vision, natural language processing, and time series.
6. ImageNet
ImageNet is a large-scale dataset used for deep learning research. It consists of millions of labeled images from a wide variety of categories, such as animals, plants, vehicles, and everyday objects. The dataset is used to train deep learning models for image recognition and object detection tasks.
7. Microsoft Research Open Data
Microsoft Research Open Data (MSR Open Data) is a collection of datasets for deep learning research, hosted by Microsoft Research. It includes datasets for computer vision, natural language processing, speech recognition, and more. The datasets are freely available for non-commercial use and are designed to facilitate research in deep learning and related areas.
8. BigML
BigMLdatasets is a library of datasets for deep learning, developed by BigML. It provides access to over 100 datasets for deep learning, including image recognition, natural language processing, and other machine-learning tasks. The datasets are available in a variety of formats, including CSV, JSON, and HDF5.
9. Amazon Open Datasets
Amazon Open Datasets in Deep Learning is a collection of datasets curated by Amazon Web Services (AWS) for use in deep learning applications. The datasets are designed to enable developers to quickly and easily build models for a variety of use cases, including computer vision, natural language processing, and recommendation systems. The datasets are available for use in Amazon SageMaker, Amazon EC2, and other AWS services.
10. COCO
COCO (Common Objects in Context) is a large-scale object detection, segmentation, and captioning dataset. It contains over 330K labeled images, 1.5 million object instances, 80 object categories, and 91 stuff categories. It is commonly used for training and evaluating object detection, segmentation, and captioning algorithms in the field of computer vision and deep learning.
I hope, this article would help you to know about the 10 useful Deep Learning Data Sets for Free Download you can use for your research.
