Photos | Metropolis Building in the Urban Neighborhood

Jin Yaqin captured the towering Metropolis building in the bustling urban neighborhood during her 2006 trip to San Francisco. The apartment building stands out with its numerous signs, balconies, and lampposts, while the flag and bustling traffic add to the city vibe.
BLIP-2 Description:
a tall building with many signsMetadata
Capture date:
Original Dimensions:
3504w x 2332h - (download 4k)
Usage
報稅 urban jewe 金 前 jackson day jin yaqin shelter 英 architecture wall food railing area road outdoor 專業 hue stres 永 city street 大 眾 更 high balcony 服 canopy tax trad 事務 永安 bookk tung rise neighborhood 月 報 services 成藥 intersection 糕粉 越 記 文明 path 若 中 shing light 薄 生金 burger decor apartment building lamppost awning 感 香 東 wi 然 sung tra flag handrail building tai 人參 司 apartment 市 sf outdoors condo 譚 tel 脰 traffic 安 metropolis trip 形 town 意 housing home 百
Detected Text
iso
100
metering mode
5
aperture
f/4.5
exposure bias
1
focal length
85mm
shutter speed
1/200s
camera make
Canon
camera model
date
2006-04-23T17:53:28-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.76%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.15%)
harmonious color
(-0.87%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-66.46%)
intrusive object presence
(-6.27%)
lively color
(-10.61%)
low light
(1.32%)
noise
(-0.61%)
pleasant camera tilt
(-8.94%)
pleasant composition
(-72.07%)
pleasant lighting
(-30.15%)
pleasant pattern
(4.64%)
pleasant perspective
(21.37%)
pleasant post processing
(0.32%)
pleasant reflection
(1.98%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.34%)
tastefully blurred
(-0.62%)
well chosen subject
(-1.74%)
well framed subject
(-30.79%)
well timed shot
(-4.93%)
all
(-4.43%)
* 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.