Photos | Queueing in the City
Sajitha, Mehedi, Preeti, and Lilima patiently wait in line outside a busy storefront in Fiji's urban center.
BLIP-2 Description:
people standing in lineChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
sleeve kitchen dubey jeans formal pants lilima minz urban building overcoat mobile gown footwear mehedi hasan services fiji 翮 sidewalk pedestrian outdoors hat purse road outdoor hrs city good shoe bag security street customerqueries fashion storefront business coat glasses shorts poster long path wear bus rekognition_c shop sign guard sajitha skirt madathil suit accessories preeti handbag walking protection home billpayments phone stop decor dress aun ltd advertisement patrol accountbalances crowd linen
Detected Text
iso
100
metering mode
5
aperture
f/1.2
focal length
85mm
shutter speed
1/3200s
camera make
Canon
camera model
lens model
date
2006-07-15T10:03:48-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.84%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.49%)
harmonious color
(-0.23%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-21.39%)
intrusive object presence
(-8.74%)
lively color
(-10.98%)
low light
(6.10%)
noise
(-4.69%)
pleasant camera tilt
(-7.81%)
pleasant composition
(-66.36%)
pleasant lighting
(-50.39%)
pleasant pattern
(5.74%)
pleasant perspective
(5.78%)
pleasant post processing
(0.99%)
pleasant reflection
(-6.41%)
pleasant symmetry
(0.56%)
sharply focused subject
(0.22%)
tastefully blurred
(-6.51%)
well chosen subject
(-23.35%)
well framed subject
(-31.88%)
well timed shot
(8.61%)
all
(-6.47%)
* 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.