COCO 2018

GPTKB entity

Statements (57)
Predicate Object
gptkbp:instance_of gptkb:Database_Management_System
gptkbp:bfsLayer 6
gptkbp:bfsParent gptkb:COCO_2017
gptkbp:category gptkb:television_series
gptkbp:challenges object detection challenge
dense captioning challenge
image captioning challenge
image retrieval challenge
keypoint challenge
object counting challenge
panoptic segmentation challenge
scene graph generation challenge
stuff segmentation challenge
visual question answering challenge
gptkbp:collaborations universities
research institutions
industry partners
gptkbp:contains annotations
images
gptkbp:contribution gptkb:software_framework
gptkb:Research_Institute
image recognition
visual perception
scene understanding
gptkbp:created_by gptkb:Microsoft
gptkbp:features realistic images
diverse scenes
multiple objects per image
gptkbp:has_artwork 330,000
https://www.w3.org/2000/01/rdf-schema#label COCO 2018
gptkbp:is_divided_into gptkb:psychologist
gptkb:railway_line
val
minival
test-challenge
test-dev
gptkbp:is_documented_in gptkb:JSON
object detection
instance segmentation
keypoint detection
gptkbp:is_evaluated_by Intersection over Union (Io U)
mean Average Precision (m AP)
gptkbp:is_part_of COCO dataset family
gptkbp:is_used_for object detection
image segmentation
keypoint detection
gptkbp:latest_version gptkb:2018
gptkbp:license gptkb:Creative_Commons_Attribution_4.0_License
gptkbp:predecessor COCO 2019
gptkbp:provides bounding boxes
segmentation masks
keypoints
gptkbp:release_date gptkb:2018
gptkbp:successor gptkb:COCO_2017
gptkbp:supports deep learning
gptkbp:used_in computer vision research
gptkbp:website cocodataset.org