Photos | Pink Cafe with Colorful Signs
This lively pink cafe is adorned with a variety of fun signs and decor, making it a cheerful spot to enjoy a meal or coffee.
BLIP-2 Description:
a pink restaurant with many signs on the wallMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
avaluos psiquiatria asilo hospital animal de wall tallas telmex diner marcelino mixto interior punteria food cafeteria chair solo grito ado corro 路 int cafe cup con tel trabajos text dining precios sino flooring wood restaurant urgentes court niños fumar blanca prohibido garantizados jue plywood pedicurista table dental building desk union san del organista enfermeras ancianos todos empujo alcohol indoors parejas casa tarot clinica sentado senvisten adolescentes drogas mammal enfermos sign orine в tiene architecture para adicciones cuidaño opción design furniture ruta vacuacion vida hay lamp magia interno prosalod citas vidente co bailes no musica floor pactentes especialistas adultos encuentros cantante economicos venta pig room dias los psicologos dining room curandera dios profesionales medico aprende bompra avalưo
Detected Text
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iso
320
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/30s
camera make
Apple
camera model
lens model
overall
(26.54%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.34%)
failure
(-0.15%)
harmonious color
(2.48%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-58.98%)
intrusive object presence
(-5.96%)
lively color
(8.42%)
low light
(18.63%)
noise
(-3.71%)
pleasant camera tilt
(-13.48%)
pleasant composition
(-64.06%)
pleasant lighting
(-31.23%)
pleasant pattern
(6.93%)
pleasant perspective
(0.01%)
pleasant post processing
(3.09%)
pleasant reflection
(-0.08%)
pleasant symmetry
(0.61%)
sharply focused subject
(0.34%)
tastefully blurred
(-2.39%)
well chosen subject
(-14.07%)
well framed subject
(-26.49%)
well timed shot
(4.08%)
all
(-3.92%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.