Photos | Summer Fun at Coachella
Kaihō Ryōji and a crowd of 36 people enjoy the sunny outdoors, surrounded by palm trees and plants, at Coachella 2017. Clothing, accessories, and footwear are on full display as they lounge on the grass and soak up the festival atmosphere.
BLIP-2 Description:
people sitting on the grass in the sun at a festivalChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
architecture bracelet summer activities necklace trunk urban plant building leisure mobile footwear outdoors wristwatch hat tree girl outdoor rug kaihō ryōji sky shoe bag cloudy fun glasses picnic coachella teen shorts audience nature electronics jewelry grass college accessories handbag wallet home decor phone palm concert crowd park
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/4000s
camera make
Canon
camera model
lens model
date
2017-04-16T18:53:18.290000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.97%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.80%)
failure
(-0.20%)
harmonious color
(2.06%)
immersiveness
(0.54%)
interaction
(1.00%)
interesting subject
(61.38%)
intrusive object presence
(-15.23%)
lively color
(-5.46%)
low light
(7.40%)
noise
(-3.32%)
pleasant camera tilt
(-4.63%)
pleasant composition
(-31.25%)
pleasant lighting
(-25.59%)
pleasant pattern
(5.74%)
pleasant perspective
(11.65%)
pleasant post processing
(-1.28%)
pleasant reflection
(0.50%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.56%)
tastefully blurred
(0.61%)
well chosen subject
(-38.70%)
well framed subject
(10.30%)
well timed shot
(27.17%)
all
(1.73%)
* 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.