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AndreiMoraru123 avatar AndreiMoraru123 commented on June 10, 2024 1

@Leo-Thomas , yes the link to MSCOCO seems to be broken indeed. Here is how you can get the 2014 dataset

You can run this in a bash script:

mkdir coco
cd coco
mkdir images
cd images

wget -c http://images.cocodataset.org/zips/train2014.zip
wget -c http://images.cocodataset.org/zips/val2014.zip
wget -c http://images.cocodataset.org/zips/test2014.zip
wget -c http://images.cocodataset.org/zips/unlabeled2014.zip

unzip train2014.zip
unzip val2014.zip
unzip test2014.zip
unzip unlabeled2014.zip

rm train2014.zip
rm val2014.zip
rm test2014.zip
rm unlabeled2014.zip

cd ../
wget -c http://images.cocodataset.org/annotations/annotations_trainval2014.zip
wget -c http://images.cocodataset.org/annotations/stuff_annotations_trainval2014.zip
wget -c http://images.cocodataset.org/annotations/image_info_test2014.zip
wget -c http://images.cocodataset.org/annotations/image_info_unlabeled2014.zip

unzip annotations_trainval2014.zip
unzip stuff_annotations_trainval2014.zip
unzip image_info_test2014.zip
unzip image_info_unlabeled2014.zip

rm annotations_trainval2014.zip
rm stuff_annotations_trainval2014.zip
rm image_info_test2014.zip
rm image_info_unlabeled2014.zip

or you can alternatively call it from a jupyter notebook cell using %%bash before the commands, or by adding ! in front of each command.

from a-pytorch-tutorial-to-image-captioning.

Nostalgist7 avatar Nostalgist7 commented on June 10, 2024

http://cs.stanford.edu/people/karpathy/deepimagesent/caption_datasets.zip
Here is the link of json file.

from a-pytorch-tutorial-to-image-captioning.

Stanlito-AI avatar Stanlito-AI commented on June 10, 2024

http://cs.stanford.edu/people/karpathy/deepimagesent/caption_datasets.zip
please which folder can i place the downloaded file?

from a-pytorch-tutorial-to-image-captioning.

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