Photos | Group Photo in the City
Ni Hua and a crowd of 28 people pose in front of a graffiti-covered building on a sunny day in San Francisco. The vibrant urban scene includes speakers blasting music, a traffic light in the background, and a mixture of casual clothing and tattoos on the diverse group.
BLIP-2 Description:
a group of people taking a photo in front of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
urban box backpack street phone jeans music glasses transportation cap outdoor mobile girl footwear bag teen sky graffiti crowd container city car baseball cap ni hua electronics shoe tattoo neighborhood skin wallet pants metropolis wristwatch road vehicle blue soma hat light traffic speakers accessories art part land
Detected Text
iso
100
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
37.78
longitude
-122.4
shutter speed
1/121s
camera make
Apple
camera model
lens model
overall
(45.41%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.74%)
failure
(-0.10%)
harmonious color
(1.39%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(26.66%)
intrusive object presence
(-5.32%)
lively color
(-3.58%)
low light
(4.03%)
noise
(-2.34%)
pleasant camera tilt
(-7.60%)
pleasant composition
(-54.35%)
pleasant lighting
(-8.30%)
pleasant pattern
(5.62%)
pleasant perspective
(10.45%)
pleasant post processing
(1.51%)
pleasant reflection
(0.97%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.88%)
tastefully blurred
(-0.75%)
well chosen subject
(-32.86%)
well framed subject
(2.00%)
well timed shot
(15.86%)
all
(0.75%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.