Photos | Trashy Intersection

A street sign at the busy intersection of Emiliano Zapata and Fernand Léger in Los Angeles, California, surrounded by litter and a bag of trash. Despite the blue sky and cloudy weather, the urban landscape is marred by the trash and debris, including a discarded handbag and lawn mower, scattered on the road.
BLIP-2 Description:
a street sign with a bag of trash on itMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Location:
tool spoke neighborhood urban plant mower pickup transportation road outdoor léger intersection fernand sky tarmac city bag traffic license land street truck machine glasses angeles tire wheel sign car vehicle los grass light accessories handbag alloy wheel emiliano zapata st device plate automobile lawn cloudy symbol
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.04
longitude
-118.2
shutter speed
1/2283s
camera make
Apple
camera model
lens model
date
2017-06-10T16:54:46.369000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.19%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.20%)
harmonious color
(2.83%)
immersiveness
(1.10%)
interaction
(1.00%)
interesting subject
(-5.79%)
intrusive object presence
(-6.32%)
lively color
(23.41%)
low light
(1.34%)
noise
(-4.54%)
pleasant camera tilt
(-3.77%)
pleasant composition
(-6.54%)
pleasant lighting
(17.43%)
pleasant pattern
(10.79%)
pleasant perspective
(7.75%)
pleasant post processing
(2.69%)
pleasant reflection
(-4.87%)
pleasant symmetry
(0.66%)
sharply focused subject
(3.81%)
tastefully blurred
(13.24%)
well chosen subject
(-37.26%)
well framed subject
(6.87%)
well timed shot
(1.73%)
all
(6.53%)
* 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.