This data set consists of a set of 870 images. Each image contains a hand making the shape of an ASL letter (with some variation).

This dataset comprises preprocessed captcha images containing six-digit characters, intended for training recognition models.

An American Sign Language (ASL) dataset is a collection of visual data, such as images or videos, that captures hand gestures and signs used in American Sign Language. These datasets are essential for developing and training machine learning models for sign language recognition, interpretation, and translation.

The HaGRiD (Hand Gesture Recognition Image Dataset) is a collection of images and data designed for the development and evaluation of hand gesture recognition systems. Hand gesture recognition is a technology used in human-computer interaction, sign language recognition, and various other applications.

At Globose Technology Solutions, we utilize the Wonders of the World Image Dataset to accurately identify and classify iconic landmarks.

The IIT Delhi Campus Pedestrian Detection Dataset is an invaluable resource for individuals working