44 datasets found

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

The dataset contains 1 million images collected from Flickr, along with textual tags, aesthetic annotations, and EXIF meta-data.

The dataset contains 17,690 images obtained from a variety of on-line communities and divided into 7 semantic categories.

The dataset contains 3,581 images from the social network Photo.net, along with aesthetic and originality scores.

COCO-Bridge 2021+ dataset is a dataset of images of bridges.

Aerial robots such as drones have been leveraged to perform bridge inspections. Inspection images with both recognizable structural elements and apparent surface defects can be...

The WSSS4LUAD challenge dataset contains 10,091 patch-level annotations and over 130 million labeled pixels from 87 WSIs of lung adenocarcinoma.

The CUHK dataset consists of 88 real sketches and photos for training, and 100 real sketches and photos for testing.

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...

The proposed dataset examines the identification of synthetic false images, such as those produced by GANs after being printed and scanned, which is a sigficant but largely...

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.

University of Pavia is a popular benchmark dataset for semantic segmentation.

A dataset of 800 haematoxylin and eosin stained slides from 300 patients suffered from cervix squamous carcinoma.

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

A dataset for grapevine leaves for early detection and classification of esca disease.

A new dataset for grape diseases object detection and instance segmentation.

AVA: A large-scale database for aesthetic visual analysis. AVA contains more than 250,000 images along with preference score distributions and textual comments given to images...