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@@ -26,7 +26,7 @@ Based on the original datasets, this repository adds **foreground segmentation m
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  We provide masks for the following datasets: [ImageNet](https://image-net.org/challenges/LSVRC/2012/index.php), [Caltech101](https://data.caltech.edu/records/mzrjq-6wc02), [Oxford Pets](https://www.robots.ox.ac.uk/~vgg/data/pets/), [StanfordCars](https://ai.stanford.edu/~jkrause/cars/car_dataset.html), [Flowers102](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/), [Food101](https://vision.ee.ethz.ch/datasets_extra/food-101/), [FGVC Aircraft](https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/), [SUN397](http://vision.princeton.edu/projects/2010/SUN/), [DTD](https://www.robots.ox.ac.uk/~vgg/data/dtd/), [EuroSAT](https://github.com/phelber/EuroSAT) and [UCF101](https://www.crcv.ucf.edu/data/UCF101.php).
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- If you only want to download the mask data, please download from [[_OPTIONAL_FOREGROUND_MASK_ONLY_DATA folder](https://huggingface.co/datasets/JREion/Prompt_Tuning_Datasets_with_Foreground/tree/main/_OPTIONAL_FOREGROUND_MASK_ONLY_DATA)].
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  # 🏷️ Scope of Application
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  We provide masks for the following datasets: [ImageNet](https://image-net.org/challenges/LSVRC/2012/index.php), [Caltech101](https://data.caltech.edu/records/mzrjq-6wc02), [Oxford Pets](https://www.robots.ox.ac.uk/~vgg/data/pets/), [StanfordCars](https://ai.stanford.edu/~jkrause/cars/car_dataset.html), [Flowers102](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/), [Food101](https://vision.ee.ethz.ch/datasets_extra/food-101/), [FGVC Aircraft](https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/), [SUN397](http://vision.princeton.edu/projects/2010/SUN/), [DTD](https://www.robots.ox.ac.uk/~vgg/data/dtd/), [EuroSAT](https://github.com/phelber/EuroSAT) and [UCF101](https://www.crcv.ucf.edu/data/UCF101.php).
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+ If you only want to download the mask data (do not contain raw images), please download from [[_OPTIONAL_FOREGROUND_MASK_ONLY_DATA folder](https://huggingface.co/datasets/JREion/Prompt_Tuning_Datasets_with_Foreground/tree/main/_OPTIONAL_FOREGROUND_MASK_ONLY_DATA)].
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  # 🏷️ Scope of Application
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