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Description
With #151, FastAI.jl is getting high-level interfaces for searching datasets (finddatasets) and loading datasets into task-specific data containers (loaddataset). There is also a new DatasetRecipe that encapsulates configuration for loading a data container and the block information from a path. These recipes can be registered with a dataset so that they can be found using the above high-level functions.
The fastai dataset colletion comes with quite a lot of datasets, so only a few have recipes yet. This issue tracks the progress on adding recipes to all the datasets. Contributions of recipe types and recipe configs for datasets are welcome.
See src/datasets/recipes.jl for example recipe implementations and src/datasets/fastairegistry for how recipes are registered. listdatasources() gives you a list of all dataset sources and datasetpath(name) downloads them and returns the download folder.
Progress
For datasets that can be used for multiple tasks, they are listed below. Otherwise a checked dataset that at least one recipe is already implemented.
- CUB_200_2011
- bedroom (not sure how the folders are layed out)
- caltech_101
- cifar10
- cifar100
- food-101
- imagenette-160
- imagenette-320
- imagenette
- imagenette2-160
- imagenette2-320
- imagenette2
- imagewang-160
- imagewang-320
- imagewang
- imagewoof-160
- imagewoof-320
- imagewoof
- imagewoof2-160
- imagewoof2-320
- imagewoof2
- mnist_png
- mnist_var_size_tiny
- oxford-102-flowers
- oxford-iiit-pet
- stanford-cars
- ag_news_csv
- amazon_review_full_csv
- amazon_review_polarity_csv
- dbpedia_csv
- giga-fren
- imdb
- sogou_news_csv
- wikitext-103
- wikitext-2
- yahoo_answers_csv
- yelp_review_full_csv
- yelp_review_polarity_csv
- biwi_head_pose
- camvid
- pascal-voc
- pascal_2007
- multi-label image classification (
(Image{2}, LabelMulti)) - object detection
- multi-label image classification (
- pascal_2012
- siim_small
- skin-lesion
- tcga-small
- adult_sample
- biwi_sample
- camvid_tiny
- dogscats
- human_numbers
- imdb_sample
- mnist_sample
- mnist_tiny
- movie_lens_sample
- planet_sample
- planet_tiny
- coco_sample
- coco-train2017
- coco-val2017
- coco-test2017
- coco-unlabeled2017
- coco-image_info_test2017
- coco-image_info_unlabeled2017
- coco-annotations_trainval2017
- coco-stuff_annotations_trainval2017
- coco-panoptic_annotations_trainval2017