Datasets:

osunlp
/

MagicBrush

img_id stringlengths 2 6	turn_index int32 1 3	instruction stringlengths 8 72
327726	1	change the table for a dog
435242	1	leave only words on the page
435242	2	leave words only on half the page
513551	1	leave only the scissor on the cup
138270	1	the window is now square
181992	1	let the car be a sports car
181992	2	remove the mesh screen
181992	3	replace some bags with throw pillows
442654	1	turn the stop sign into a no parking sign
442654	2	remove the lower sign
403221	1	Let the sheep turn white.
278535	1	Have the business be called Bongos.
278535	2	Turn the stop sign into a lollipop.
298692	1	make that backpack all black
298692	2	make the girl ginger
262146	1	Give the person a cape.
275542	1	let the dogs bite a stuffed toy
275542	2	let the dogs wear jackets
503855	1	Get rid of all the people.
503855	2	Make the umbrellas blue.
503855	3	Add a big dog.
166761	1	change the grass to water
166761	2	make the airplane a toy airplane
173530	1	What if it was another car on it?
504170	1	The background should be of a mountain.
43894	1	let the cellphone screen be blue
43894	2	let the laptop be black
10909	1	remove the microwave and stove and put a refrigerator in it's place
10909	2	swap the cabinet for a shelf
236951	1	add a bullet train
236951	2	remove the boards
236951	3	add a bear
61184	1	remove the bench with pillows
61184	2	remove one potted plant
507950	1	let the train be blue
507950	2	let a lion walk towards the cows
507950	3	add a helicopter in the sky
566823	1	Let the bus be single-sectioned.
442416	1	add a phone
442416	2	let the two pizzas be pepperoni pizzas
442416	3	add a microwave
357633	1	put a car on the screen of the laptop.
357633	2	It could be a hand next to the laptop.
357633	3	The hand could be holding a cup.
115859	1	make one of the dogs pant
383706	1	What if the doughnut had bites?
570259	1	the bowl needs to have ketchup.
570259	2	Can it be a hotdog insted of sandwich?
570259	3	Put a pizza next to the hotdog.
74549	1	Let the sandwich not be eaten.
23781	1	add a bouquet of red flowers
23781	2	change potatoes into oranges
23781	3	let a grandmother look at the display
192047	1	Replace the mirror with a window.
192047	2	Put a towel on the hanger.
152327	1	Make it one-legged.
251888	1	let the boat be white boat
251888	2	add a shark in the water
251888	3	add a plane in the sky
528432	1	let it be steel bats
528432	2	add a baseball on the glass table
528432	3	add a rat
328270	1	change the blue shirt to red shirt
328270	2	let it be a mushroom pizza
328270	3	add a bottle of olive oil
553990	1	Make the horse's coat dark black.
553990	2	Make the woman's pants black.
171472	1	let the bag contain soda bottles
171472	2	let there be a couch near the bags
171472	3	let a dog coil up and sleep
551427	1	make the stove be on fire
546597	1	make the street empty
546597	2	edit a castle in the image instead of the buildings
540122	1	turn the computer off
459662	1	Have one of the girls be wearing a baseball cap
62756	1	make his tie black
62756	2	replace the white truck with a white motorcycle
62756	3	give the man bermuda shorts
292512	1	close the window
533536	1	Make the cat a dog.
413182	1	Have both kids be wearing red baseball caps
413182	2	Have there be the number 9 on the shirt of one of the kids
357057	1	remove the towels
357057	2	remove that toilet paper
357057	3	remove the items from every shelf
50058	1	let the snow pile be a grassy hill
50058	2	let the man wear a sombrero
50058	3	let the man wear casual clothes
274516	1	change the motorcycle into an ATV
274516	2	let the man wear a red jacket
274516	3	make a rabbit chase the man
549042	1	make the elephant raise its trunk
549042	2	let the elephants have bigger eyes
549042	3	let the elephant wear a beret
114748	1	Let's add a flower sticker on the fridge.
373038	1	make the cat lick his paw
17324	1	let the zebra have its legs up in the air
17324	2	add birds flying in the sky
17324	3	let the tall brown grass be green
72795	1	Replace the batter with Batman.

End of preview. Expand in Dataset Viewer.

Dataset Card for MagicBrush

Dataset Summary

MagicBrush is the first large-scale, manually-annotated instruction-guided image editing dataset covering diverse scenarios single-turn, multi-turn, mask-provided, and mask-free editing. MagicBrush comprises 10K (source image, instruction, target image) triples, which is sufficient to train large-scale image editing models.

Please check our website to explore more visual results.

Dataset Structure

"img_id" (str): same from COCO id but in string type, for easier test set loading

"turn_index" (int32): the edit turn in the image

"source_img" (str): input image, could be the original real image (turn_index=1) and edited images from last turn (turn_index >=2)

"mask_img" (str): free-form mask image (white region), can be used in mask-provided setting to limit the region to be edited.

"instruction" (str): edit instruction of how the input image should be changed.

"target_img" (str): the edited image corresponding to the input image and instruction.

If you need auxiliary data, please use training set and dev set

Splits

train: 8,807 edit turns (4,512 edit sessions). dev: 528 edit turns (266 edit sessions). test: (To prevent potential data leakage, please check our repo for information on obtaining the test set.)

Licensing Information

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.

Citation Information

If you find this dataset useful, please consider citing our paper:

@inproceedings{Zhang2023MagicBrush,
        title={MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing},
        author={Kai Zhang and Lingbo Mo and Wenhu Chen and Huan Sun and Yu Su},
        booktitle={Advances in Neural Information Processing Systems},
        year={2023}
}