Photos | Window Shopping
![Window Shopping](https://eecue.com/img/640/ff8840a81c.jpg)
Donna Christian-Christensen and a group of 8 people admire the stylish and artsy clothing displayed behind the well-lit window of a shop in the SRPC show of 2008.
BLIP-2 Description:
a group of people standing in front of a store windowMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
mccausi canvas flooring lamp wood hospital glasses architectural materials stock drawing outdoor rand museum footwear artis's raw biden grand floor ope show plywood shop building sign sponsor shoe alternatives primed win change official come inside srpc quality pants arti opening gallery archival enter stuff architecture donna christian-christensen great save savings walk sale accessories supplies indoors stretched art free
Detected Text
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
overall
(35.77%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.51%)
harmonious color
(0.53%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-27.49%)
intrusive object presence
(-7.54%)
lively color
(-16.15%)
low light
(79.93%)
noise
(-5.37%)
pleasant camera tilt
(-12.13%)
pleasant composition
(-50.68%)
pleasant lighting
(-37.94%)
pleasant pattern
(9.03%)
pleasant perspective
(-2.07%)
pleasant post processing
(0.27%)
pleasant reflection
(-2.10%)
pleasant symmetry
(1.17%)
sharply focused subject
(0.32%)
tastefully blurred
(-7.28%)
well chosen subject
(-25.49%)
well framed subject
(-25.24%)
well timed shot
(0.20%)
all
(-5.30%)
* 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.