Photos | Mayday Rally: A Metropolis in Motion
Hokutoumi Nobuyoshi captured the bustling energy of the Mayday rally in 2008, with a sea of vehicles and people filling the urban landscape.
BLIP-2 Description:
a street with a lot of people and vehiclesMetadata
Capture date:
Original Dimensions:
3888w x 2592h - (download 4k)
Usage
Dominant Color:
os accessories city vehicle land food urban shoe station bicycle mayday_rally road sign de guatemalas handbag dentista schoo el symbol mes transportation popular intersection cada cycling bonnie rally crowd sport automobile town clinica hat hokutoumi nobuyoshi flag fin bus tarmac burlington thai helmet mayday traffic pedestrian eria recreation glove ac honduras zone end freeway salvador plate street footwear area machine brae istia backpack bag outdoor light neighborhood car illa lane license fire metropolis transi mas
Detected Text
iso
400
metering mode
5
aperture
f/3.2
focal length
125mm
shutter speed
1/5000s
camera make
Canon
camera model
lens model
overall
(27.64%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.27%)
harmonious color
(-1.51%)
immersiveness
(1.07%)
interaction
(1.00%)
interesting subject
(-60.69%)
intrusive object presence
(-11.04%)
lively color
(-5.04%)
low light
(0.17%)
noise
(-1.76%)
pleasant camera tilt
(-11.13%)
pleasant composition
(-87.40%)
pleasant lighting
(-27.37%)
pleasant pattern
(3.15%)
pleasant perspective
(1.46%)
pleasant post processing
(1.20%)
pleasant reflection
(-4.33%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.15%)
tastefully blurred
(-5.22%)
well chosen subject
(2.12%)
well framed subject
(-63.72%)
well timed shot
(2.84%)
all
(-6.08%)
* 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 with AI (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.