metadata
language: ar
datasets: flickr8k
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