Photos | Coachella Concertgoers Enjoying the Festival Vibes
Actress Anya Taylor-Joy and a crowd of music fans walk around the grounds, showing off their festival fashion and accessories such as backpacks, hats, and sunglasses, against a beautiful blue sky backdrop.
BLIP-2 Description:
people walking around at a music festivalChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
bracelet costume anya taylor-joy headgear boy pants baseball footwear festival eos cap travel iii luggage hat wristwatch outdoor saturday sky container bag shoe party fun glasses coachella shorts teen mark sunglasses backpack skirt jewelry accessories blouse trip vest handbag april spring formal wear walking canon part entertainment dress blue sky back crowd undershirt
iso
3200
metering mode
5
aperture
f/2.8
focal length
22mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2016-04-23T18:43:48.210000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.40%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.84%)
failure
(-0.20%)
harmonious color
(2.55%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(1.34%)
intrusive object presence
(-21.22%)
lively color
(-1.96%)
low light
(5.18%)
noise
(-0.78%)
pleasant camera tilt
(-5.18%)
pleasant composition
(-74.27%)
pleasant lighting
(-31.08%)
pleasant pattern
(2.69%)
pleasant perspective
(5.52%)
pleasant post processing
(-1.58%)
pleasant reflection
(2.30%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.63%)
tastefully blurred
(-13.72%)
well chosen subject
(-18.63%)
well framed subject
(-6.66%)
well timed shot
(14.04%)
all
(-3.59%)
* 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.