Photos | Weekend Festival Fun

A crowd of people line up for an outdoor event under a beautiful blue sky and palm trees at Coachella 2016, WK02 Saturday. Featuring bold summer clothing and accessories, along with backpacks and bags, the festivalgoers enjoy the warm weather and the company of 32 fellow pedestrians.
BLIP-2 Description:
people are standing in line at an outdoor eventMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
bracelet wine summer cocktails amusement urban plant footwear pedestrian outdoors transportation hat wristwatch sidewalk tree road outdoor saturday sky vacation shoe bag city swimwear land oriol pamies fun glasses coachella shorts path nature car vehicle backpack jewelry accessories arbour walking part garden arecales bikini palm back tourist crowd park
iso
3200
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2016-04-23T18:47:12.880000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(49.83%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.73%)
failure
(-0.59%)
harmonious color
(5.25%)
immersiveness
(3.83%)
interaction
(1.00%)
interesting subject
(6.56%)
intrusive object presence
(-7.42%)
lively color
(-4.43%)
low light
(2.17%)
noise
(-3.61%)
pleasant camera tilt
(-6.35%)
pleasant composition
(-32.69%)
pleasant lighting
(-21.66%)
pleasant pattern
(6.86%)
pleasant perspective
(13.50%)
pleasant post processing
(7.64%)
pleasant reflection
(-0.44%)
pleasant symmetry
(1.88%)
sharply focused subject
(0.71%)
tastefully blurred
(-6.72%)
well chosen subject
(-1.53%)
well framed subject
(-24.34%)
well timed shot
(7.97%)
all
(3.16%)
* 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.