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You can download these datasets: [COCO](http://cocodataset.org/#download), [CrowdPose](https://github.com/Jeff-sjtu/CrowdPose#dataset), [MPII](http://human-pose.mpi-inf.mpg.de/), [AIC](https://arxiv.org/abs/1711.06475), [COCO-Stuff](https://github.com/nightrome/cocostuff), [RefCOCO](https://github.com/lichengunc/refer), [GrefCOCO](https://github.com/henghuiding/gRefCOCO), [GoPro](https://seungjunnah.github.io/Datasets/gopro), [REDS](https://seungjunnah.github.io/Datasets/reds.html), [SIDD](https://www.eecs.yorku.ca/~kamel/sidd/), [CLWD](https://arxiv.org/abs/2012.07616), [IP2PDataset](https://github.com/timothybrooks/instruct-pix2pix), [GIER](https://sites.google.com/view/gierdataset), [GQAInpaint](https://github.com/abyildirim/inst-inpaint), [MagicBrush](https://osu-nlp-group.github.io/MagicBrush/). The resulting data directory should look like this:
InstructDiffusion
|-- data
`-- |-- coco
| |-- annotations
| `-- images
|-- mpii
| |-- annot
| `-- images
|-- crowdpose
| |-- json
| `-- images
|-- aic
| |-- annotations
| `-- ai_challenger_keypoint_train_20170902
|
|-- coco-stuff
| |-- annotations
| |-- labels.txt
| `-- images
|-- coco_2014
| |-- grefcoco
| | |-- grefs(unc).json
| | `-- instances.json
| |-- refcoco
| | |-- instances.json
| | |-- refs(google).p
| | `-- refs(unc).p
| `-- images
|
|-- GoPro
| |-- train
| `-- test
|-- REDS
| |-- train
| `-- val
|-- SIDD
| |-- train
| `-- val
|-- CLWD
| |-- train
| |-- test
| `-- watermark_logo
|
|-- clip-filtered-dataset
| |-- shard-00.zip
| |-- shard-01.zip
| `-- ...
|-- GIER_editing_data
| |-- images
| `-- GIER.json
|-- gqa-inpaint
| |-- images
| |-- images_inpainted
| |-- masks
| |-- train_scenes.json
| `-- meta_info.json
`-- MagicBrush
|-- data
|-- processed-train
`-- magic_train.json
|