Photos | Night Out at the Restaurant
Three men sporting baseball caps and trendy glasses stand outside a restaurant on a bustling city street. The lighting casts a soft glow on their faces and apparel while the urban atmosphere adds to the overall vibe of the night.
BLIP-2 Description:
three men standing outside a restaurant at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture sleeve train jeans pants urban building baseball portrait food sweater cap outdoors lamp hat transportation restaurant road outdoor jacket text city station street old shirt badhand coat junglescene glasses indoors long sleeve databass life nature sunglasses sign alley vehicle accessories sting night downtown railway t-shirt walking lighting knitwear photography terminal cinema symbol shelter
Detected Text
date
2002-11-03T18:19:48-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(14.10%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-3.05%)
harmonious color
(-3.84%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-59.33%)
intrusive object presence
(-4.96%)
lively color
(-9.77%)
low light
(99.37%)
noise
(-37.08%)
pleasant camera tilt
(-11.57%)
pleasant composition
(-67.72%)
pleasant lighting
(-67.38%)
pleasant pattern
(8.47%)
pleasant perspective
(-11.18%)
pleasant post processing
(2.75%)
pleasant reflection
(-4.77%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.12%)
tastefully blurred
(-45.36%)
well chosen subject
(-35.30%)
well framed subject
(-53.61%)
well timed shot
(-23.56%)
all
(-14.10%)
* 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.