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
con empujo food adolescentes vida avaluos senvisten orine de dining desk tarot restaurant indoors enfermos solo lamp wood chair interior musica dining room san vidente bailes medico dios citas avalưo table animal psiquiatria tallas los adultos plywood flooring marcelino garantizados aprende magia asilo prosalod jue ado urgentes cup ancianos dias pig niños room tel grito adicciones tiene del pedicurista economicos parejas cafe hay punteria floor text mixto cantante drogas especialistas court cuidaño в 路 furniture architecture sino alcohol enfermeras trabajos venta precios pactentes no hospital para blanca todos profesionales curandera telmex encuentros casa fumar sentado prohibido ruta organista mammal bompra diner clinica sign design wall opción interno cafeteria co building vacuacion union psicologos int dental corro
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.