Photos | Urban Waste

A pile of discarded mattresses and cardboard boxes left on the busy street of San Francisco. Michael Tilson Thomas walks by with a group of people while cars and containers pass through the road.
BLIP-2 Description:
a pile of mattresses and boxes on the sidewalkMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
listen path walkway city urban furniture container october laptop apple civic hardware thai car vehicle screen cardboard transportation pc st symphony accessories sidewalk bag max outdoor street garbage states road michael tilson thomas glasses iphone building time massage footwear civic center monitor san continental trash soason sonson stopping no listcn alley fall francisco pro computer handbag united california polk box land hat center ca electronics shoe
Detected Text
iso
125
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
37.78
longitude
-122.42
shutter speed
1/120s
camera make
Apple
camera model
date
2019-10-18T17:48:00.258000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(39.31%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.27%)
harmonious color
(1.10%)
immersiveness
(1.71%)
interaction
(1.00%)
interesting subject
(-45.87%)
intrusive object presence
(-2.91%)
lively color
(4.64%)
low light
(4.25%)
noise
(-1.37%)
pleasant camera tilt
(-6.76%)
pleasant composition
(-40.67%)
pleasant lighting
(-4.15%)
pleasant pattern
(12.13%)
pleasant perspective
(9.23%)
pleasant post processing
(0.98%)
pleasant reflection
(-9.16%)
pleasant symmetry
(1.59%)
sharply focused subject
(1.20%)
tastefully blurred
(-4.47%)
well chosen subject
(-22.94%)
well framed subject
(-10.04%)
well timed shot
(-1.47%)
all
(0.37%)
* 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.