Photos | Working in Narrow Spaces

A man takes on a challenging task by standing on a ladder in a narrow alley. The surrounding buildings give a glimpse into the city landscape. (Tags: building, street, urban)
BLIP-2 Description:
a man is standing on a ladder in a narrow alleyMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture neighborhood handrail urban building window chair footwear lamp transportation hat sidewalk theatre area restaurant road outdoor furniture house fiona allen tarmac city bag shoe land olivia street machine shelf munn indoors angeles metropolis path helmet car vehicle los alley kiosk accessories town housing automobile staircase shop handbag box
iso
100
metering mode
5
aperture
f/8
exposure bias
-2
focal length
25mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2007-01-06T15:04:44-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(25.66%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.73%)
failure
(-0.42%)
harmonious color
(-4.01%)
immersiveness
(1.05%)
interaction
(1.00%)
interesting subject
(-72.07%)
intrusive object presence
(-5.98%)
lively color
(-17.30%)
low light
(70.90%)
noise
(-3.00%)
pleasant camera tilt
(-17.07%)
pleasant composition
(-85.50%)
pleasant lighting
(-48.10%)
pleasant pattern
(6.81%)
pleasant perspective
(-10.02%)
pleasant post processing
(-1.43%)
pleasant reflection
(-1.95%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.15%)
tastefully blurred
(4.05%)
well chosen subject
(4.51%)
well framed subject
(-60.50%)
well timed shot
(-3.42%)
all
(-9.93%)
* 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.