7 datasets found

The proposed approach uses a single deep network of YOLOv8 for both segmentation and style transfer.

The dataset used in the paper is the VOC dataset, which is a dataset for object detection and segmentation.

A dataset of textual entailment tasks, used for evaluating the ability of language models to understand relationships between texts.

The Pascal Visual Object Classes (VOC) challenge is a benchmark for object detection and segmentation.

Semantic segmentation is a crucial and challenging task for image understanding. It aims to predict a dense labeling map for the input image, which assigns each pixel a unique...

The Microsoft COCO dataset was used for training and evaluating the CNNs because it has become a standard benchmark for testing algorithms aimed at scene understanding and...

Large scale datasets [18, 17, 27, 6] boosted text conditional image generation quality. However, in some domains it could be difficult to make such datasets and usually it could...