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SPMDataset
A dataset of images annotated with semantic tuples, including predicates, actors, and locatives. -
Microsoft COCO 2017 dataset
This dataset contains images paired with multiple human-annotated descriptions in the form of sentences. -
Democratizing Pathological Image Segmentation with Lay Annotators via Molecul...
Multi-class cell segmentation in high-resolution Giga-pixel whole slide images (WSI) is critical for various clinical applications. Training such an AI model typically requires... -
Heudiasyc dataset
A dataset for autonomous driving. -
Open Images Dataset
The dataset used in the experiment consists of 50 images equally distributed between five classes: aircraft, bird, bicycle, boat, and dog. Each class has 5 true positive images... -
ReferItGame
Visual grounding is the task of localizing a language query in an image. The output is often a bounding box as drawn in the yellow color. -
Flickr30K Entities
The Flickr30K Entities dataset consists of 31,783 images each matched with 5 captions. The dataset links distinct sentence entities to image bounding boxes, resulting in 70K... -
SBD dataset
The SBD dataset is a benchmark dataset for semantic segmentation and object detection. -
MSCOCO validation set
The dataset used in the paper is the MSCOCO validation set. -
iNaturalist-2017
A dataset of images with annotated objects. -
CornerNet dataset
The CornerNet dataset is a benchmark for bottom-up object detection. It contains 80 categories and over 1.5 million object instances. -
Pothole Detection Dataset
A dataset of images with pothole annotations from various sources, including Google Earth Pro, AUTOPILOT videos, and GoPro camera images. -
COCO test-dev
The COCO test-dev dataset is used for instance segmentation. It contains 20k test-dev images. -
COCO Dataset
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,...