image_features
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.ImmunoBench-image-features
ImmunoBench Feature Representations
🔍 Overview
🤗 Dataset |
🌐 Homepage |
📄 Paper (coming soon) |
💻 Code
This repository provides pre-extracted feature representations from whole slide images (WSIs) from the ImmunoBench project, a large-scale benchmark designed for evaluating pathology foundation models in IHC-centered pathology workflows. ImmunoBench integrates data from 13,657 patients, 26,058 WSIs, 9,682,431 TMA-derived IHC images and 464,294… See the full description on the dataset page: https://huggingface.co/datasets/AI4Pathology/ImmunoBench-image-features.pathorchestra-image-features
PathOrchestra Feature Representations
🔒 Access Policy
Access to this dataset is restricted and requires approval.Please request access using your official/institutional email address by contacting the dataset maintainers.
Note: Commercial use is prohibited without explicit permission.
🔄 Dataset Updates
This dataset is under continuous development as part of the broader PathOrchestra project.The current release includes the pancancer_1 subset. Additional… See the full description on the dataset page: https://huggingface.co/datasets/AI4Pathology/pathorchestra-image-features.image-features-dataset