COCO 2017
TY Lin, 2014

fast-ai-coco (10 files)
unlabeled2017.zip 20.13GB
coco_sample.tgz 3.25GB
image_info_test2017.zip 1.14MB
image_info_unlabeled2017.zip 4.90MB
panoptic_annotations_trainval2017.zip 860.73MB
stuff_annotations_trainval2017.zip 1.15GB
test2017.zip 6.65GB
train2017.zip 19.34GB
annotations_trainval2017.zip 252.91MB
val2017.zip 815.59MB
Type: Dataset
Tags:fastai

Bibtex:
@article{,
title= {COCO 2017},
keywords= {fastai},
journal= {},
author= {TY Lin, 2014},
year= {},
url= {http://cocodataset.org/},
license= {},
abstract= {Probably the most widely used dataset today for object localization is COCO: Common Objects in Context. Provided here are all the files from the 2017 version, along with an additional subset dataset created by fast.ai. Details of each COCO dataset is available from the COCO dataset page. The fast.ai subset contains all images that contain one of five selected categories, restricting objects to just those five categories; the categories are: chair couch tv remote book vase.},
superseded= {},
terms= {}
}


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