Discover the EyeT4Empathy Dataset, a groundbreaking resource by GTS that integrates eye movement tracking with empathy assessments.

Can neural networks learn to replicate the creative process of human artists? This dataset not only challenges AI with the task of artistic replication but also explores the potential of algorithms in achieving proficiency similar to that of professional artists.

Explore the realm of transportation with our specialized dataset designed for multiclass classification tasks. This dataset features a curated selection of five distinct vehicle categories: cars, motorcycles, buses, trains, and trucks.

This is the most common disease in freshwater aquaculture. This is a custom dataset. Data collected from various websites and some images from various Institutes of Freshwater Aquaculture in South Asia.

The captured images are thus mixed with colorful stripes, named moiré patterns, which severely degrade the perceptual quality of images.

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.