Photos | Rocking the Crowd
A man on stage, hands in the air, electrifying the audience with his guitar at the Natural History Museums of Los Angeles County.
BLIP-2 Description:
a man on stage with his hands up in the airChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
stage activities wily lee speakers soon footwear rekognition_c bracelet musical concert urban traffic taylor leisure lighting recreation chung glasses guitar bag hat soon-mi chung speaker audience sky fyf group camera jewelry solo bullock taylor wily handbag crowd musician rock wristwatch band mi light music instrument electronics performer outdoor performance sung spotlight shoe accessories
iso
800
metering mode
5
aperture
f/2.8
focal length
15mm
shutter speed
1/2000s
camera make
Canon
camera model
lens model
date
2015-08-22T19:16:14.870000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.13%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-0.27%)
harmonious color
(0.30%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-42.60%)
intrusive object presence
(-19.51%)
lively color
(-22.25%)
low light
(94.87%)
noise
(-1.15%)
pleasant camera tilt
(-15.22%)
pleasant composition
(-89.21%)
pleasant lighting
(-50.39%)
pleasant pattern
(2.66%)
pleasant perspective
(10.24%)
pleasant post processing
(1.40%)
pleasant reflection
(1.14%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.15%)
tastefully blurred
(-2.47%)
well chosen subject
(1.76%)
well framed subject
(-35.33%)
well timed shot
(6.52%)
all
(-7.13%)
* 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.