Photos | Late Night Shopping

Tomoaki Satoh and others stand outside a brightly-lit storefront, checking their phones and chatting on a chilly November evening in 2008.
BLIP-2 Description:
people standing outside of a store at nightMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
chitectural materials cafeteria necklace urban plant building canvas overcoat mobile footwear plywood lamp transportation sidewalk walkway satoh restaurant outdoor bodypirong flooring carton wood bag shoe city gun cardboard art srpc storefront poster indoors glasses coat supplies raw path metropolis rekognition_c electronics sign car vehicle jewelry kiosk accessories architectural cafe lighting part phone back show floor advertisement shop handbag sale weapon box tomoaki
Detected Text
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2008-11-13T18:17:09-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(33.42%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.80%)
failure
(-0.37%)
harmonious color
(1.55%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-44.26%)
intrusive object presence
(-11.16%)
lively color
(-22.77%)
low light
(69.14%)
noise
(-3.32%)
pleasant camera tilt
(-11.63%)
pleasant composition
(-76.81%)
pleasant lighting
(-42.48%)
pleasant pattern
(6.69%)
pleasant perspective
(-8.86%)
pleasant post processing
(2.44%)
pleasant reflection
(-1.67%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.29%)
tastefully blurred
(-4.75%)
well chosen subject
(-13.57%)
well framed subject
(-47.41%)
well timed shot
(-8.29%)
all
(-8.75%)
* 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.