The dataset provides a platform for outdoor weather analysis by extracting various features for recognizing different weather conditions.

Explore our WildFire-Smoke Detection Dataset designed specifically for YOLO object detection models. Perfect for researchers and developers.

Semantic Segmentation is one of major tasks in Computer Vision. It is the pixel-wise classification of an image into object classes.

Explore our Handwritten Signature Dataset featuring unique signatures from 27 individuals, ideal for research in signature verification.

WLASL is the largest video dataset for Word-Level American Sign Language (ASL) recognition, which features 2,000 common different words in ASL.

TACO comprises a diverse range of high-resolution images of various types of litter in different contexts and environments.

Explore the UPS-Writing-Skills dataset, featuring 358 images of triangles, squares, and circles drawn by children from Cuenca, Ecuador.

The dataset was developed by starting with satellite images of the ocean, some of which contain an oil spill and some that do not.

The original dataset with 24 different classes and 24Mpx of resolution is contained in the folder semantic drone dataset

When learning Computer Vision, in particular the training of DNNs and CNNs to recognize and classify images, there is a dearth of good datasets.