Photos | The Urban Metropolis
Rimpa Siva captures a bustling city street, filled with cars, buildings, and pedestrians, as the sun sets on a busy day.
BLIP-2 Description:
a busy street with many cars and buildingsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
urban 髮 乾 plate 中信 麵包 golden 彩 canon chair jewelry trong 背 handbag 新 〇 hair 錶 旗 观 美 apartment light accessories 从 vo 茗 gr 茶 path 發 houseo 商 修理 sidewalk building license men outdoors tarmac watches 金 metropolis 金山 附 bills land wheel 旦 花 中心 van womi 西 transportation siming 聲 window car 生 cit 天仁 sign canopy fine neighborhood sa ba 廢 awning symbol machine architecture traffic furniture 銀行 storefront street fir town outdoor 尘 co bag shoes 驼 式 balcony no eos 都 city automobile post intersection april rimpa siva 各 哒 自 gate spring 喜慶 area road vehicle hat 珠 seisprocp wome 機 shelter
Detected Text
iso
100
metering mode
5
aperture
f/1.2
exposure bias
1
focal length
85mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
overall
(32.86%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.22%)
harmonious color
(0.18%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-65.19%)
intrusive object presence
(-10.84%)
lively color
(-3.84%)
low light
(2.93%)
noise
(-2.08%)
pleasant camera tilt
(-10.05%)
pleasant composition
(-83.06%)
pleasant lighting
(-27.32%)
pleasant pattern
(3.93%)
pleasant perspective
(6.43%)
pleasant post processing
(-0.83%)
pleasant reflection
(-4.28%)
pleasant symmetry
(1.07%)
sharply focused subject
(0.54%)
tastefully blurred
(-5.03%)
well chosen subject
(-4.34%)
well framed subject
(-44.60%)
well timed shot
(7.79%)
all
(-4.68%)
* 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.