Photos | Drumming up the Crowd
Jonathan Pierce banging the drums at the FYF Bullock music festival, surrounded by a sea of people enjoying the outdoor performance on stage. The spotlight illuminates the drums, while the speakers blast the music into the sky.
BLIP-2 Description:
the drums at the music festivalChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3840w x 5760h - (download 4k)
Usage
Dominant Color:
bracelet string group activities spotlight urban drums rock leisure music speaker footwear bullock ring stage musical instrument musician outdoor performance sky shoe bag jonathan camera glasses cord electronics sign rekognition_c jewelry performer light accessories musical instrument pierce recreation handbag fyf band speakers lighting photography guitar concert crowd
iso
800
metering mode
5
aperture
f/2.8
focal length
15mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
date
2015-08-22T19:17:33.790000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(24.99%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.39%)
harmonious color
(1.93%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-59.91%)
intrusive object presence
(-8.50%)
lively color
(-12.10%)
low light
(94.58%)
noise
(-1.61%)
pleasant camera tilt
(-11.02%)
pleasant composition
(-88.43%)
pleasant lighting
(-57.91%)
pleasant pattern
(3.42%)
pleasant perspective
(4.72%)
pleasant post processing
(3.17%)
pleasant reflection
(1.80%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.22%)
tastefully blurred
(-18.80%)
well chosen subject
(-15.86%)
well framed subject
(-45.68%)
well timed shot
(-0.53%)
all
(-9.33%)
* 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.