The Drug Name Detection dataset serves as a fundamental resource for training and evaluating computer vision models in the field of drug name detection.

Training and evaluating machine learning models for height and weight estimation from images.
Research in fields such as healthcare, fitness, and biometrics.

This dataset was created by myself. This dataset contains pictures of people doing workouts. The name of the existing workout corresponds to the name of the folder listed.

This dataset is invaluable for research and development in plant biology, agricultural automation, and computer vision. Researchers and practitioners can leverage these annotated images and masks for tasks such as plant phenotyping, disease detection, and growth monitoring.

The Reduced MNIST dataset serves as an excellent resource for conducting focused experiments in machine learning and deep learning.

Explore our Felidae Dataset, designed for precise cat species recognition. This unique collection features unnormalized images.

The efficacy of this technology is substantiated by compelling results, showcasing its proficiency in fortifying diverse applications against unauthorized access.

This meticulously curated dataset is essential for developing and validating cutting-edge AI models focused on facial recognition within the LEGO universe.

There are a lot of different types of shapes and it is important to be able to differentiate between them.

The Massachusetts Buildings Dataset is a detailed collection that showcases the architectural features of Massachusetts.