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 itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Location:
sky los city vehicle land accessories plant grass urban road tool sign alloy wheel emiliano zapata handbag mower fernand angeles lawn transportation truck intersection tire device léger automobile tarmac wheel traffic spoke plate street blue machine bag outdoor light neighborhood pickup car license symbol st glasses cloudy
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
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 with AI (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.