Photos | Crowd Gathers Around Fallen Man
Alex Agnew collapses in front of a crowd during Coachella Sunday 2010.
BLIP-2 Description:
a man is on the ground in front of a crowdChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture sunday alex agnew urban building chair footwear eos airplane stage plywood outdoors transportation walkway restaurant furniture outdoor road sky wood city shoe bag balloon aircraft cloudy street manufacturing ii berman factory glasses water coachella indoors waterfront path helmet mark vehicle accessories market handbag april spring bazaar canon lighting falete part serena back concert shop crowd shelter
iso
100
metering mode
5
aperture
f/6.3
exposure bias
-0.32999999999999996
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2010-04-18T17:21:52.410000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.14%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-0.22%)
harmonious color
(1.86%)
immersiveness
(1.42%)
interaction
(1.00%)
interesting subject
(12.46%)
intrusive object presence
(-11.87%)
lively color
(-17.24%)
low light
(39.31%)
noise
(-3.13%)
pleasant camera tilt
(-6.68%)
pleasant composition
(-66.21%)
pleasant lighting
(-30.22%)
pleasant pattern
(7.57%)
pleasant perspective
(17.46%)
pleasant post processing
(-1.83%)
pleasant reflection
(-0.68%)
pleasant symmetry
(2.08%)
sharply focused subject
(0.44%)
tastefully blurred
(4.60%)
well chosen subject
(-0.39%)
well framed subject
(-23.78%)
well timed shot
(23.29%)
all
(-0.62%)
* 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.