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:
lighting jacket badhand cap knitwear shelter city urban outdoors train station jeans vehicle lamp t-shirt symbol transportation downtown cinema indoors accessories shirt sign photography sleeve old baseball outdoor street pants road sunglasses night glasses building architecture food databass portrait sweater alley text junglescene coat restaurant life terminal walking railway long sleeve hat nature sting
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.