|
gptkbp:instance_of
|
gptkb:Database_Management_System
|
|
gptkbp:bfsLayer
|
4
|
|
gptkbp:bfsParent
|
gptkb:Res_Net
gptkb:Deep_Lab
|
|
gptkbp:application
|
image recognition
video analysis
scene understanding
image retrieval
visual question answering
|
|
gptkbp:category
|
gptkb:horse_race
gptkb:musician
gptkb:Database_Management_System
gptkb:weapon
gptkb:television_series
gptkb:plant
gptkb:tower
gptkb:candy
gptkb:Person
gptkb:video_game
gptkb:automobile
gptkb:dog_breed
gptkb:archaeological_site
gptkb:toy
gptkb:mythological_figure
gptkb:book
gptkb:computer
remote
tv
cell phone
hair drier
|
|
gptkbp:collection
|
crowdsourcing
manual annotation
|
|
gptkbp:contains
|
annotations
images
|
|
gptkbp:created_by
|
gptkb:Microsoft_Research
|
|
gptkbp:data_type
|
large-scale
|
|
gptkbp:format
|
gptkb:JPEG
gptkb:color
|
|
gptkbp:has_artwork
|
over 330,000
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
COCO Dataset
|
|
gptkbp:image
|
gptkb:Flickr
MSCOCO
|
|
gptkbp:is_divided_into
|
gptkb:psychologist
gptkb:railway_line
val
80/20
|
|
gptkbp:is_documented_in
|
gptkb:JSON
|
|
gptkbp:is_evaluated_by
|
mean Average Precision (m AP)
Average Recall (AR)
|
|
gptkbp:is_popular_in
|
computer vision community
|
|
gptkbp:is_used_for
|
object detection
image segmentation
captioning
|
|
gptkbp:label
|
gptkb:COCO_Detection_Challenge
COCO Captioning Challenge
COCO Keypoint Challenge
|
|
gptkbp:license
|
Attribution 4.0 International (CCBY 4.0)
|
|
gptkbp:provides_information_on
|
over 5 GB
|
|
gptkbp:release_year
|
gptkb:2014
|
|
gptkbp:resolution
|
varied
|
|
gptkbp:supports
|
gptkb:software_framework
deep learning
|
|
gptkbp:type
|
bounding boxes
segmentation masks
keypoints
|
|
gptkbp:user_manual
|
gptkb:Label_Me
|
|
gptkbp:website
|
cocodataset.org
|