Photos | City Parade
Hiroyuki Kaiō and Sreelakshmi Suresh join the crowd of 52 people marching through the busy city streets during the annual Metropolis festival. The photo captures the vibrant energy of the parade, with its colorful banners, traffic lights, and towering architecture all around.
BLIP-2 Description:
a large group of peopleChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
urban pann street festival jiamand outdoor de dave tipp footwear window bag cr marching bro foro pedestrian city wholesale shop building sign shoe handbag suresh ela metrd diamante elefante cols ay area parade metropolis road garantizado sreelakshmi tel hiroyuki kaiō centro architecture hat light gold traffic mayoreo montebello accessories walking crowd land
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
overall
(32.35%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.15%)
harmonious color
(0.29%)
immersiveness
(0.78%)
interaction
(1.00%)
interesting subject
(-57.23%)
intrusive object presence
(-9.47%)
lively color
(-10.83%)
low light
(3.15%)
noise
(-0.68%)
pleasant camera tilt
(-12.52%)
pleasant composition
(-83.89%)
pleasant lighting
(-30.52%)
pleasant pattern
(8.74%)
pleasant perspective
(8.19%)
pleasant post processing
(2.09%)
pleasant reflection
(-0.17%)
pleasant symmetry
(0.83%)
sharply focused subject
(0.12%)
tastefully blurred
(-8.78%)
well chosen subject
(14.44%)
well framed subject
(-64.45%)
well timed shot
(9.52%)
all
(-3.85%)
* 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.