Photos | Enjoying a Delicious Hot Dog at the Restaurant
Tal C sits at the dining table, savoring his hot dog while surrounded by three other men. The restaurant's furniture, tableware, and utensils are all visible in the background.
BLIP-2 Description:
a man sitting at a table eating a hot dogChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
cutlery architecture glass cafeteria headgear spoon tableware pub meal building portrait food bar baseball cap beverage dish hat hot restaurant furniture counter utensil text court ice drinking dessert sitting diner dog alcohol lemonade cream indoors dining girls sink table smoothie room juice tal dogs cafe part cocktail photography girls_and_hot_dogs cup
Detected Text
flash fired
true
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/25s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2003-11-21T02:30:46-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(27.08%)
curation
(65.30%)
highlight visibility
(5.52%)
behavioral
(70.66%)
failure
(-0.49%)
harmonious color
(0.64%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(1.93%)
intrusive object presence
(-7.86%)
lively color
(-26.83%)
low light
(66.02%)
noise
(-11.79%)
pleasant camera tilt
(-5.65%)
pleasant composition
(-52.34%)
pleasant lighting
(-69.73%)
pleasant pattern
(1.54%)
pleasant perspective
(4.36%)
pleasant post processing
(2.87%)
pleasant reflection
(3.38%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.22%)
tastefully blurred
(-29.54%)
well chosen subject
(-45.34%)
well framed subject
(32.71%)
well timed shot
(-0.67%)
all
(-9.54%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.