Datasets:

cQueenccc
/

Vivian-Blip-Captions

image imagewidth (px) 850 4.27k	caption stringlengths 5 84
	a woman standing in front of a food cart
	a man holding a newspaper
	a man smoking a cigarette
	cans on a shelf
	a little boy looking through a window
	a man on a ladder
	people walking down the street
	a man leaning on a pole
	a woman walking down the street
	some signs in a window
	a woman sitting on the ground
	a person laying on a towel
	the shadow of a plant on a sidewalk
	a hat on display in a store window
	a woman talking on a cell
	a city
	a cow walking down a street
	a man and a woman standing in a doorway
	a group of people holding balloons
	two people sleeping on a bench
	a young boy on the street
	a little boy in a suit and tie
	a man in a wheelchair next to a large ship
	a group of people holding balloons
	a man walking down the street
	a man smoking a cigarette
	a shadow of a person holding a dog bowl
	a man sitting at a table
	two men working on a construction site
	a man and a woman
	a shadow of a person holding a dog bowl
	a woman in a fur coat
	a man taking a picture of himself
	a man standing in front of a building
	a woman sitting on a bench
	a man in a suit and tie
	a group of people getting on a bus
	a group of people holding balloons
	some mushrooms in the grass
	a woman holding a painting
	a woman standing in front of a food stand
	a sidewalk with some plants
	a woman standing in front of a store window
	a man holding a bird
	a nun
	a woman holding a camera
	a woman walking down the street
	two women walking down the street
	a woman walking down the street
	a man smoking a cigarette
	a child in a car
	a person on a boat
	a man and a child in a box
	a sidewalk in a park
	a man sitting in a truck
	a group of men in suits
	a group of people standing in front of a store
	a woman walking down the street
	a man on a street lamp
	a gas station at night
	a car
	a person holding a camera
	a group of people walking down the street
	a person walking in the snow
	a baby sitting on a blanket
	a bedroom
	an older man and woman
	people playing on the beach
	a man laying on the ground
	a sign in a window
	a woman in a red dress
	two women
	a person looking at an object in a bag
	a movie theater at night
	two people standing in the water
	a group of people in a car
	a woman sitting on top of a mountain
	a child playing with a horse drawn carriage
	two little girls in dresses
	a man smoking a cigarette
	a woman and a child walking down the street
	a woman walking down the street
	two young boys sitting on the steps
	a woman sitting on a bench
	a metal stair against a cloudy sky
	a clock on a wall
	a boat in the water
	a chair and trash on the sidewalk
	a shadow of a person on the ground
	a young boy playing in the water
	a person walking under a bridge
	two young boys
	a bike parked on the sidewalk
	a person sitting in the window of a car
	a person taking a picture
	a group of women walking down the street
	two children playing on a sidewalk
	people in a restaurant with a mirror
	a man in a car
	a woman walking down a sidewalk

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Disclaimer

This was inspired from https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions

Dataset Card for A subset of Vivian Maier's photographs BLIP captions

The captions are generated with the pre-trained BLIP model.

For each row the dataset contains image and caption keys. image is a varying size PIL jpeg, and caption is the accompanying text caption. Only a train split is provided.

Examples

A group of people

person floating in the water

a person standing next to a refrigerator

Citation

If you use this dataset, please cite it as:

@misc{cqueenccc2023vivian,
      author = {cQueenccc},
      title = {Vivian Maier's photograph split BLIP captions},
      year={2023},
      howpublished= {\url{https://huggingface.co/datasets/cQueenccc/Vivian-Blip-Captions/}}
}

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Size of downloaded dataset files:

171 MB

Size of the auto-converted Parquet files:

171 MB

Number of rows:

1,087

Models trained or fine-tuned on cQueenccc/Vivian-Blip-Captions

cQueenccc/Fine-Tune-Diffusion-Vivian

Text-to-Image • Updated Mar 22, 2023 • 3