9 datasets found

This dataset is used for multi-scale cell instance segmentation with keypoint graph based bounding boxes.

TextLogo3K dataset is a large-scale dataset of text logos, consisting of 3,470 text logo images with various styles and annotated with pixel-level segmentation, bounding boxes,...

The dataset used for evaluation of the proposed method. It contains images of humans and faces, with pre-annotated bounding boxes for persons and faces.

The dataset used in this paper is a collection of images and drone states, used for training and testing the Deep Optical Flow Dynamics and PixelMPC algorithm.

CrowdHuman is a challenging benchmark to evaluate the ability of crowded scene detection of detectors, which contains about 15k training images and 4k images for evaluation.

The COCO dataset is a large-scale dataset for object detection, semantic segmentation, and captioning. It contains 80 object categories and 1,000 image instances per category,...

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...

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...