Photos | Night Riders
A group of motorcycles parked on an Austin street, illuminated by the night sky and surrounding storefronts, featuring Spoke, a pickup truck, and three motorcycles. People including Sam Huntington mill about, carrying bags and wearing hats and footwear.
BLIP-2 Description:
a group of motorcycles parked on a street at nightMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
urban wheel storefront street lamp austin night restaurant 口 transportation outdoor footwear window bag billiards motorcycle tire path sky buyalo sam huntington city pickup truck automobile car hardware sidewalk building lighting bicycle electronics shoe handbag intersection alloy grill helmet indoors spoke metropolis screen road vehicle life machine hat light traffic motor accessories yon monitor computer crowd land
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/40s
camera make
Canon
camera model
lens model
overall
(32.18%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-1.00%)
harmonious color
(2.47%)
immersiveness
(0.56%)
interaction
(1.00%)
interesting subject
(-54.15%)
intrusive object presence
(-3.81%)
lively color
(-20.24%)
low light
(99.17%)
noise
(-6.57%)
pleasant camera tilt
(-6.76%)
pleasant composition
(-80.76%)
pleasant lighting
(-60.99%)
pleasant pattern
(6.01%)
pleasant perspective
(0.15%)
pleasant post processing
(7.16%)
pleasant reflection
(-4.33%)
pleasant symmetry
(0.61%)
sharply focused subject
(0.15%)
tastefully blurred
(-17.42%)
well chosen subject
(4.54%)
well framed subject
(-52.78%)
well timed shot
(-0.11%)
all
(-8.40%)
* 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.