13 datasets found

The dataset is used to estimate the level of muscle load in a person's arm by analyzing images of the arm holding different weights.

Dipy is a library for the analysis of diffusion MRI data.

Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: Is the problem solved?

Nerthus dataset contains 5176 frames of colonoscopy images from 21 videos.

A comprehensive ablation study including transfer learning to represent visual semantics with the explainable features concepts, scenes, and objects.

The DFU infection classification dataset used in this paper, comprising 2,946 augmented patches with infection and 2,946 augmented patches without infection.

The DFU infection dataset curated by Goyal et al. comprises DFU images collected at the Lancashire Teaching Hospital with the permission of the U.K. National Health Service...

A custom dataset of photos and PM2.5 of that time, taken inside Dhaka City, the capital of Bangladesh. The pictures are of a time range from 2020 to 2022. The dataset mainly...

MEWS ingests enormous amounts of images and video from various social media platforms using keyword targets provided by partner media organizations with context-specific...

The dataset consists of T1-weighted brain MRI images of patients, with manual segmentation of anatomical structures provided.

A dataset for leaf disease segmentation and detection in apple orchards.

The dataset used in the paper is a large set of real images extracted from the RAISE dataset.

The Visual Genome dataset is a large-scale visual question answering dataset, containing 1.5 million images, each with 15-30 annotated entities, attributes, and relationships.