Photos | Macklemore Shreds on Skateboard at San Francisco Concert
Macklemore entertains the crowd with his musical talents and skateboarding skills at a concert in San Francisco. His tattoos and wristwatches add to his edgy style as he rock the spotlight.
BLIP-2 Description:
a man in a white shirt is holding a skateboardChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
bracelet string skin necklace spotlight urban rock music mobile footwear ring macklemore arts wristwatch hat performing entertainer performance shoe party art fun audience soma life electronics jewelry light accessories musical instrument night recreation tattoo part phone back concert earbuds crowd
iso
40
metering mode
5
aperture
f/2.4
focal length
6mm
latitude
37.77
longitude
-122.42
shutter speed
1/120s
camera make
Apple
camera model
lens model
date
2019-08-07T20:31:05.810000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.95%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.26%)
failure
(-0.42%)
harmonious color
(4.82%)
immersiveness
(0.12%)
interaction
(4.00%)
interesting subject
(24.89%)
intrusive object presence
(-11.43%)
lively color
(-21.42%)
low light
(61.43%)
noise
(-3.81%)
pleasant camera tilt
(-4.36%)
pleasant composition
(-31.86%)
pleasant lighting
(-36.04%)
pleasant pattern
(2.76%)
pleasant perspective
(6.21%)
pleasant post processing
(-1.10%)
pleasant reflection
(-1.15%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.83%)
tastefully blurred
(-12.90%)
well chosen subject
(-17.52%)
well framed subject
(33.01%)
well timed shot
(12.48%)
all
(-1.35%)
* 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.