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
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3504w x 2332h - (download 4k)
Usage
Dominant Color:
urban 髮 plate 中信 trip golden chair billboards jewelry 搖 handbag flor hair 錶 彳 美 sf apartment light accessories path 衫 商 ms 無 修理 sidewalk building 珠寶 license men 所 ental outdoors tarmac mrunalini kunte watches metropolis 金山 bills land wheel 廣 花 中心 transportation window un 典 car 生 的 sign 以 canopy fine 忽 neighborhood sa 銀 awning architecture machine symbol traffic furniture 新聲 storefront street houseoi town outdoor 金門 bag shoes 驼 式 balcony no 都 city automobile 不 post r 麵 intersection 各 領 day gate area road vehicle rd wome 機 shelter
Detected Text
iso
100
metering mode
5
aperture
f/1.2
focal length
85mm
shutter speed
1/2000s
camera make
Canon
camera model
overall
(33.47%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
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.