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 marketMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
inc athena cap city urban bajar digi pompis watcha para undershirt levanta lori bamboo market child de teen shopping fashion girl accessories bag equipment photography teri baseball outdoor jewelry pants sunglasses optical glasses building footwear crown crowd shop district peso indu portrait boy metropolis handbag bazaar tok jain hat nicola zagame electronics necklace shoe
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
date
2016-08-28T14:16:48.430000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.21%)
curation
(68.69%)
highlight visibility
(5.78%)
behavioral
(70.69%)
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 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.