ResNet-50 Datasets

dataset	download link
coco (validation)	http://images.cocodataset.org/zips/val2017.zip

Install dependencies

First install all python dependencies in the following manner:

$ python3 -m pip install -r requirements.txt

Download using Collective Knowledge (CK)

The recommended way to download the datasets is using the Collective Knowledge framework (CK) for collaborative and reproducible research.

First, confirm you have ck, and pull its repositories containing dataset packages:

$ ck version
V1.15.0
$ ck pull repo:ck-env

Download COCO 2017 validation dataset

$ ck install package --tags=object-detection,dataset,coco,2017,val,original
$ ck locate env --tags=object-detection,dataset,coco,2017,val,original

Pre-Process COCO 2017

$ python3 preprocess.py --input-val_dir $(ck locate env --tags=object-detection,dataset,coco,2017,val,original | tail -1)/val2017
Using random seed 12345 to take a random 224 x 224 crop to the scaled image
Saving cropped scaled images to cropped-val2017
100%|███████████████████████████████████████████████████████████████████████████████████| 5000/5000 [00:08<00:00, 560.21it/s]