Photos | Coachella Crowd

A sea of people sporting various headgear and clothing gather outdoors for a concert on the grassy land of Coachella 2011 on Sunday. Among the crowd is a group of 29 individuals including a child, 5 men, and 6 males, each wearing baseball caps and carrying backpacks and bags. The audience also includes 6 pairs of footwear, 6 wristwatches, 4 pairs of glasses, and various other accessories and jewelry. Some members of the crowd can be seen using mobile phones and wearing shorts while others hold musical instruments and sport baseball gloves. In the background, there is a bench and furniture.
BLIP-2 Description:
a crowd of peopleMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
bracelet headgear sunday boy building baseball mobile child footwear cap hat wristwatch furniture outdoor baseball cap bag shoe land bench glove glasses coachella audience shorts helmet electronics backpack grass jewelry sport accessories musical instrument handbag percussion phone concert crowd drum undershirt
iso
1600
aperture
f/2.8
focal length
200mm
shutter speed
1/40s
camera make
Canon
camera model
lens model
date
2011-04-17T19:22:34-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(24.48%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-1.20%)
harmonious color
(-0.97%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-31.37%)
intrusive object presence
(-7.06%)
lively color
(-6.95%)
low light
(6.91%)
noise
(-3.42%)
pleasant camera tilt
(-13.16%)
pleasant composition
(-90.63%)
pleasant lighting
(-39.33%)
pleasant pattern
(4.25%)
pleasant perspective
(-20.78%)
pleasant post processing
(-0.81%)
pleasant reflection
(-0.88%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.32%)
tastefully blurred
(-52.49%)
well chosen subject
(-18.05%)
well framed subject
(-66.99%)
well timed shot
(15.86%)
all
(-8.84%)
* 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.