Datasetpublic

jontooy/Flickr8k-Image-Features

Flickr8k Image Features Flickr8k image features are extracted using the ResNeXt-152 C4 architecture (found here) and can be used as input for the OSCAR learning method. Arabic captions and splits are provided by ElJundi et al. Dev-split dev-arabic.yaml Yaml configure file with Arabic object tags dev.feature.tsv Extracted image features dev.label.arabic.tsv Arabic labels dev.label.tsv English labels dev.yaml Yaml configure file with English object tags… See the full description on the dataset page: https://huggingface.co/datasets/jontooy/Flickr8k-Image-Features.

sourceHugging Faceupdated 4y agoView on Hugging Face

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Flickr8k Image Features

Flickr8k image features are extracted using the ResNeXt-152 C4 architecture (found here) and can be used as input for the OSCAR learning method. Arabic captions and splits are provided by ElJundi et al.

Dev-split

—dev-arabic.yaml Yaml configure file with Arabic object tags
—dev.feature.tsv Extracted image features
—dev.label.arabic.tsv Arabic labels
—dev.label.tsv English labels
—dev.yaml Yaml configure file with English object tags
—dev_caption.json Arabic captions for training
—dev_caption_coco_format.json Arabic captions for validation

Test-split

—test-arabic.yaml Yaml configure file with Arabic object tags
—test.feature.tsv Extracted image features
—test.label.arabic.tsv Arabic labels
—test.label.tsv English labels
—test.yaml Yaml configure file with English object tags
—test_caption.json Arabic captions for training
—test_caption_coco_format.json Arabic captions for validation

Train-split

—train-arabic.yaml Yaml configure file with Arabic object tags
—train.feature.tsv Extracted image features
—train.label.arabic.tsv Arabic labels
—train.label.tsv English labels
—train.yaml Yaml configure file with English object tags
—train_caption.json Arabic captions for training
—train_caption_coco_format.json Arabic captions for validation