|
gptkbp:instance_of
|
gptkb:Data
|
|
gptkbp:associated_with
|
gptkb:Tensor_Flow
gptkb:Open_AI
gptkb:Py_Torch
gptkb:image_Net
|
|
gptkbp:categories
|
80
|
|
gptkbp:challenges
|
gptkb:COCO_Detection_Challenge
gptkb:COCO_Panoptic_Challenge
gptkb:COCO_Stuff_Challenge
COCO Captioning Challenge
COCO Keypoint Challenge
|
|
gptkbp:contains
|
annotations
images
test set
train set
val set
|
|
gptkbp:created_by
|
gptkb:Microsoft
|
|
gptkbp:data_type
|
object detection
image captioning
instance segmentation
keypoint detection
pixel-wise annotations
|
|
gptkbp:evaluates
|
Intersection over Union (Io U)
mean Average Precision (m AP)
|
|
gptkbp:has_artwork
|
over 330,000
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
COCO dataset
|
|
gptkbp:is_divided_into
|
train/val/test split
|
|
gptkbp:is_documented_in
|
gptkb:JSON
|
|
gptkbp:is_popular_in
|
computer vision
|
|
gptkbp:latest_version
|
gptkb:2017
|
|
gptkbp:license
|
gptkb:Creative_Commons_Attribution_License
|
|
gptkbp:provides
|
bounding boxes
segmentation masks
keypoints
|
|
gptkbp:provides_information_on
|
community involvement
workshops
open-source projects
research initiatives
academic collaborations
public contributions
industry partnerships
machine learning competitions
AI conferences
real-world images
crowdsourced annotations
|
|
gptkbp:release_year
|
gptkb:2014
|
|
gptkbp:supports
|
deep learning
|
|
gptkbp:used_by
|
gptkb:developers
gptkb:researchers
data scientists
|
|
gptkbp:used_for
|
object detection
image segmentation
captioning
|
|
gptkbp:website
|
cocodataset.org
|
|
gptkbp:bfsParent
|
gptkb:CLIP
gptkb:Swin_Transformer
gptkb:YOLO
gptkb:Deep_Lab
gptkb:Mask_R-CNN
|
|
gptkbp:bfsLayer
|
5
|