Photos | Metropolis Rush
Busy street filled with cars, billboards and bustling people. Mrunalini Kunte enjoying the urban chaos from her apartment balcony.
BLIP-2 Description:
a busy street with many cars parked on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2332h - (download 4k)
Usage
Dominant Color:
sa r 生 gate urban 都 chair 無 機 修理 式 license un storefront 驼 的 廣 珠寶 領 金門 day 中心 handbag shelter architecture rd houseoi 所 flor 忽 transportation sidewalk area road outdoor city 各 street machine watches billboards sign ental ms vehicle wheel balcony canopy 中信 衫 neighborhood golden 不 以 furniture 錶 intersection 典 髮 bag shoes mrunalini kunte post 花 path light wome awning bills symbol 美 men hair building apartment window sf 金山 fine outdoors 彳 traffic tarmac 銀 land no metropolis 商 car jewelry 搖 accessories 新聲 trip town 麵 plate automobile
Detected Text
iso
100
metering mode
5
aperture
f/1.2
focal length
85mm
shutter speed
1/2000s
camera make
Canon
camera model
date
2006-04-23T17:44:55-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(33.47%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-0.17%)
harmonious color
(-0.42%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-58.01%)
intrusive object presence
(-14.33%)
lively color
(2.33%)
low light
(8.81%)
noise
(-1.05%)
pleasant camera tilt
(-8.40%)
pleasant composition
(-79.15%)
pleasant lighting
(-11.52%)
pleasant pattern
(5.47%)
pleasant perspective
(10.01%)
pleasant post processing
(-2.13%)
pleasant reflection
(-4.43%)
pleasant symmetry
(1.10%)
sharply focused subject
(0.90%)
tastefully blurred
(0.19%)
well chosen subject
(-7.12%)
well framed subject
(-35.18%)
well timed shot
(7.90%)
all
(-2.58%)
* 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.