img_id
stringlengths 2
6
| turn_index
int32 1
3
| source_img
imagewidth (px) 500
1.02k
| mask_img
imagewidth (px) 1.02k
1.02k
| instruction
stringlengths 8
72
| target_img
imagewidth (px) 1.02k
1.02k
|
---|---|---|---|---|---|
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. |
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}
}
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