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.

Plant disease is a deviation from the normal state of a plant that disrupts or alters its vital functions. Plant diseases can lead to significant yield losses.

The ROAD MARK Dataset is a curated collection of annotated images and videos focusing on detecting and classifying road markings and related objects.

The folders are named and organized accordingly. Note that the images contained in the sloth, and pain_au_chocolat folders don’t need to be named in any way.

This dataset contains 1510 images belonging to the 2 classes, as well as their bounding boxes in the YOLO format labeled text files.

This dataset is created in the context of an online shopping task, where users pay special attentions to fine-grained visual differences.