Photos | Group of People in Front of 10 Shoes Store
Kartikeya Sharma and a group of adults dressed in formal wear stand in front of the 10 Shoes store in 2008. The store's advertisement poster and signage are visible while the group poses for a groupshot.
BLIP-2 Description:
a group of people standing in front of a storeChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
building outdoor tie advertisement official kartikeya sharma shoe canvas formal frawina biden canv sign groupshot airport canon englies wall free hospital wear овам corridor savings november architecture architectur sponsor causland srpc indoors overcoat plywood glasses alti fall inside win sal accessories ant materials footwear coat flooring stuff poster suit wood art lamp grand opening show enter floor eos great raw
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
17mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
overall
(37.70%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.32%)
harmonious color
(-0.68%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-21.35%)
intrusive object presence
(-10.33%)
lively color
(-13.31%)
low light
(36.94%)
noise
(-2.83%)
pleasant camera tilt
(-10.71%)
pleasant composition
(-63.38%)
pleasant lighting
(-38.75%)
pleasant pattern
(7.23%)
pleasant perspective
(-8.50%)
pleasant post processing
(2.85%)
pleasant reflection
(-2.44%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.46%)
tastefully blurred
(-4.61%)
well chosen subject
(-33.37%)
well framed subject
(-19.20%)
well timed shot
(-6.62%)
all
(-7.28%)
* 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 with AI (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.