|
gptkbp:instanceOf
|
computer vision competition
|
|
gptkbp:assesses
|
mean Average Precision
|
|
gptkbp:category
|
gptkb:aircraft
gptkb:baseball
gptkb:beer
gptkb:bird
gptkb:book
gptkb:bus
gptkb:car
gptkb:castle
gptkb:deer
gptkb:dessert
gptkb:dog
gptkb:food
gptkb:furniture
gptkb:glass
gptkb:horse_race
gptkb:keyboard
gptkb:lion
gptkb:livestock
gptkb:meat
gptkb:mouse
gptkb:orange
gptkb:person
gptkb:personal_computer
gptkb:tennis_player
gptkb:train
gptkb:wine
gptkb:cyclist
gptkb:bag
gptkb:inlet
gptkb:sword
gptkb:cat
Sandwich
broccoli
concert hall
dish
minister
apple
toothpaste
tie
carrot
banana
remote
bowl
teddy bear
skis
microwave
toaster
umbrella
kite
surfboard
frisbee
skateboard
fork
baseball glove
suitcase
donut
tv
cell phone
snowboard
potted plant
couch
sports ball
hair drier
|
|
gptkbp:firstHeld
|
2015
|
|
gptkbp:focusesOn
|
object detection
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
COCO Detection Challenge
|
|
gptkbp:organizedBy
|
gptkb:COCO_Consortium
|
|
gptkbp:partOf
|
gptkb:COCO_dataset
|
|
gptkbp:relatedTo
|
image segmentation
keypoint detection
|
|
gptkbp:trainer
|
gptkb:COCO_dataset
|
|
gptkbp:usedBy
|
computer vision researchers
|
|
gptkbp:usedFor
|
benchmarking object detection algorithms
|
|
gptkbp:website
|
https://cocodataset.org/#detection-2023
|
|
gptkbp:YouTubeChannel
|
online
|
|
gptkbp:bfsParent
|
gptkb:COCO
|
|
gptkbp:bfsLayer
|
7
|