Photos | Stylish Women in a Busy Market
Nicola Zagame (left) and Indu Jain (right) strike a pose for the camera amidst the vibrant crowd in The Santee Alley, Los Angeles. Notice their on-point sunglasses, trendy accessories, and chic footwear!
BLIP-2 Description:
two women are posing for a picture in a crowded marketChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
bazaar accessories city levanta urban shoe cap shop peso de electronics handbag teen pompis indu athena district shopping necklace crowd jain hat bamboo building photography undershirt fashion lori portrait girl crown child pants boy equipment footwear tok teri optical digi market bag outdoor watcha para baseball jewelry bajar inc sunglasses nicola zagame metropolis glasses
Detected Text
iso
25
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.04
longitude
-118.26
shutter speed
1/60s
camera make
Apple
camera model
lens model
overall
(39.21%)
curation
(68.69%)
highlight visibility
(5.94%)
behavioral
(90.76%)
failure
(-0.22%)
harmonious color
(1.00%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-4.88%)
intrusive object presence
(-4.83%)
lively color
(-7.75%)
low light
(34.69%)
noise
(-2.08%)
pleasant camera tilt
(-6.87%)
pleasant composition
(-70.95%)
pleasant lighting
(-57.32%)
pleasant pattern
(3.59%)
pleasant perspective
(-5.26%)
pleasant post processing
(2.33%)
pleasant reflection
(-1.00%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.27%)
tastefully blurred
(-0.28%)
well chosen subject
(-29.54%)
well framed subject
(-26.93%)
well timed shot
(5.86%)
all
(-7.51%)
* 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 with AI (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.