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:
lighting path walkway chitectural satoh city urban floor weapon raw poster car vehicle part lamp materials plant cafe cardboard transportation storefront back indoors bag accessories sign sidewalk wood sale outdoor jewelry architectural srpc glasses building show footwear cafeteria shop canvas tomoaki kiosk metropolis coat mobile phone carton restaurant plywood flooring overcoat handbag rekognition_c box bodypirong supplies advertisement art gun electronics necklace shoe
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.