Photos | Metropolitan Madness
Nooshin Al Khadeer, Masira Surin, and Sneha Deepthi navigate through the bustling streets of Fiji, surrounded by vehicles, buildings, and a sea of people.
BLIP-2 Description:
a busy street with cars and peopleMetadata
Capture date:
Original Dimensions:
3072w x 2304h - (download 4k)
Usage
Dominant Color:
urban wheel rental storefront street night plate complex town information outdoor plugs systems transportation good footwear bag sound nooshin al khadeer path sky stop pedestrian instruments isic city pickup truck automobile car sidewalk building license fiji centre sneha deepthi fittings tax intersection sical handbag tarmac shoe video outdoors canopy neighborhood day area bula bank tour downtown metropolis road vehicle awning lane machine architecture blue masira light traffic bus surin sales sharmas travel accessories walkway free land
Detected Text
iso
50
metering mode
5
aperture
f/7.1
focal length
8mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
overall
(32.59%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.42%)
harmonious color
(-1.90%)
immersiveness
(2.98%)
interaction
(1.00%)
interesting subject
(-65.04%)
intrusive object presence
(-6.32%)
lively color
(-0.39%)
low light
(3.32%)
noise
(-0.63%)
pleasant camera tilt
(-8.06%)
pleasant composition
(-77.15%)
pleasant lighting
(-38.31%)
pleasant pattern
(5.79%)
pleasant perspective
(-2.46%)
pleasant post processing
(0.36%)
pleasant reflection
(-3.30%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.10%)
tastefully blurred
(-4.53%)
well chosen subject
(8.44%)
well framed subject
(-56.84%)
well timed shot
(9.12%)
all
(-4.91%)
* 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.