Photos | Summer Fun in the Park with Frida Kahlo

Dozens of people enjoy a sunny day in the park with the iconic Frida Kahlo. The vibrant blue sky and lush green grass create the perfect backdrop for a day of leisure activities and relaxation.
BLIP-2 Description:
a group of people standing around a large fieldMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
architecture thursday summer activities kahlo urban ton plant building leisure flower footwear yard ¥ box outdoors yuma hat transportation basketball tent tree area frida outdoor sky shoe bag city land 半 machine fun grove picnic friday coachella ball (ball) bus nature wheel rekognition_c backpack grass car + vehicle sport vegetation accessories woodland play palm lawn handbag visiting park shelter
iso
800
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2016-04-15T13:06:58.390000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.55%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.05%)
harmonious color
(8.43%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-33.59%)
intrusive object presence
(-18.92%)
lively color
(10.75%)
low light
(0.12%)
noise
(-0.71%)
pleasant camera tilt
(-6.40%)
pleasant composition
(-83.35%)
pleasant lighting
(4.48%)
pleasant pattern
(2.98%)
pleasant perspective
(3.03%)
pleasant post processing
(5.39%)
pleasant reflection
(3.70%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.54%)
tastefully blurred
(-0.14%)
well chosen subject
(-16.43%)
well framed subject
(-48.46%)
well timed shot
(13.22%)
all
(0.80%)
* 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.