shi-labs/oneformer_coco_swin_large
Image Segmentation
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Usage
For testing purpose, you can use the hosted dummy dataset (dummy_data) as follows:
import datasets
ds = datasets.load_dataset("ydshieh/coco_dataset_script", "2017", data_dir="./dummy_data/")
For using the COCO dataset (2017), you need to download it manually first:
wget http://images.cocodataset.org/zips/train2017.zip
wget http://images.cocodataset.org/zips/val2017.zip
wget http://images.cocodataset.org/zips/test2017.zip
wget http://images.cocodataset.org/annotations/annotations_trainval2017.zip
wget http://images.cocodataset.org/annotations/image_info_test2017.zip
Then to load the dataset:
COCO_DIR = ...(path to the downloaded dataset directory)...
ds = datasets.load_dataset("ydshieh/coco_dataset_script", "2017", data_dir=COCO_DIR)
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