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:
path city hrs security kitchen dress urban skirt outdoors long decor aun wear protection jeans poster patrol home madathil shoe linen fashion stop storefront services formal customerqueries bag accessories sign sidewalk gown sleeve preeti outdoor street business pants road fiji glasses building footwear crowd lilima minz billpayments good shop sajitha suit ltd shorts mobile accountbalances coat phone guard purse mehedi hasan dubey pedestrian walking handbag overcoat bus rekognition_c advertisement hat 翮
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.