Photos | Flower Arrangement With Man's Portrait
A stunning flower arrangement alongside a portrait of a man at the Civic Center Mall in Los Angeles, California in 2016.
BLIP-2 Description:
a table with flowers and a picture of a manChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
marigold la maria que brillante salazar floristry citrus potted geranium pumpkin sunflower hombre civic petal ruben gonzales plant de vegetable los un horda sign justicia little tokyo arrangement plate fruit bouquet maría produce atención solo egg food rose prefiero cup angeles flower arrangement rodolfo una rekognition_c tener box rodolfo gonzales squash flower art fence center güereña grapefruit felix rita hayworth
Detected Text
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.06
longitude
-118.25
shutter speed
1/380s
camera make
Apple
camera model
date
2016-10-29T16:23:25.432000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(51.37%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.35%)
failure
(-0.15%)
harmonious color
(7.10%)
immersiveness
(0.81%)
interaction
(1.00%)
interesting subject
(-16.02%)
intrusive object presence
(-1.42%)
lively color
(26.93%)
low light
(10.50%)
noise
(-3.66%)
pleasant camera tilt
(-1.91%)
pleasant composition
(-9.59%)
pleasant lighting
(8.14%)
pleasant pattern
(23.34%)
pleasant perspective
(11.91%)
pleasant post processing
(7.17%)
pleasant reflection
(-0.90%)
pleasant symmetry
(0.98%)
sharply focused subject
(2.29%)
tastefully blurred
(4.56%)
well chosen subject
(-26.15%)
well framed subject
(11.09%)
well timed shot
(-3.75%)
all
(7.55%)
* 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.