Photos | Motorcycle enthusiasts gather under the night sky
Rahsaan Roland Kirk and Mary Fallin join a group of 30 people admiring the 4 motorcycles on display, surrounded by the urban backdrop of Austin's streets. From helmets to jewelry, the crowd's accessories reflect their love for the machines and the thrill of the road.
BLIP-2 Description:
a group of people standing around a row of motorcyclesChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
ii urban wheel storefront street austin bracelet night transportation outdoor footwear june bag motorcycle path tire sky eos canon city jewelry car sidewalk building bicycle shoe handbag rahsaan roland kirk fallin mark mary alloy helmet spoke metropolis road vehicle machine hat summer motor accessories crowd land
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/20s
camera make
Canon
camera model
lens model
overall
(29.71%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.70%)
failure
(-0.56%)
harmonious color
(0.27%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-41.19%)
intrusive object presence
(-17.31%)
lively color
(-16.06%)
low light
(98.49%)
noise
(-4.42%)
pleasant camera tilt
(-12.20%)
pleasant composition
(-83.01%)
pleasant lighting
(-57.08%)
pleasant pattern
(4.64%)
pleasant perspective
(-1.35%)
pleasant post processing
(-0.43%)
pleasant reflection
(-0.82%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.12%)
tastefully blurred
(-17.70%)
well chosen subject
(4.50%)
well framed subject
(-49.10%)
well timed shot
(-1.36%)
all
(-8.96%)
* 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.