|
gptkbp:instanceOf
|
computer vision competition
|
|
gptkbp:acceptsSubmissions
|
gptkb:researchers
students
industry teams
|
|
gptkbp:annotationType
|
captions
bounding boxes
segmentation masks
video frames
keypoints
dense pose
panoptic labels
stuff labels
|
|
gptkbp:applicationDeadline
|
annually updated
|
|
gptkbp:assesses
|
mean Average Precision
|
|
gptkbp:award
|
yes
|
|
gptkbp:firstHeld
|
2015
|
|
gptkbp:focusesOn
|
image segmentation
object detection
keypoint detection
|
|
gptkbp:format
|
gptkb:JSON
|
|
gptkbp:hasCategoryCount
|
80
|
|
gptkbp:hasImageCount
|
over 200,000
|
|
gptkbp:hasLeaderboard
|
yes
|
|
gptkbp:hasObjectInstanceCount
|
over 1.5 million
|
|
gptkbp:heldBy
|
gptkb:CVPR
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
COCO Challenge
|
|
gptkbp:language
|
English
|
|
gptkbp:license
|
gptkb:Creative_Commons_Attribution_4.0_International_License
|
|
gptkbp:memiliki_tugas
|
object detection
instance segmentation
image captioning
panoptic segmentation
captioning
dense pose estimation
person keypoint detection
stuff segmentation
video object segmentation
video panoptic segmentation
|
|
gptkbp:openToPublic
|
global participants
|
|
gptkbp:organizedBy
|
gptkb:COCO_Consortium
gptkb:Microsoft
|
|
gptkbp:participants
|
individuals
teams
|
|
gptkbp:relatedTo
|
gptkb:ImageNet_Challenge
gptkb:PASCAL_VOC_Challenge
|
|
gptkbp:trainer
|
gptkb:COCO_dataset
|
|
gptkbp:website
|
https://cocodataset.org/#detection-leaderboard
|
|
gptkbp:YouTubeChannel
|
online
|
|
gptkbp:bfsParent
|
gptkb:ImageNet_Large_Scale_Visual_Recognition_Challenge
|
|
gptkbp:bfsLayer
|
6
|