Photos | Mural Magic
A stunning mural depicting a man and woman graces the wall, showcasing the beauty of art and architecture. This piece serves as a bold advertisement, drawing in passersby with its captivating colors and designs. Photo taken at the 2012 WBTLA Camp.
BLIP-2 Description:
a wall with a mural of a man and a womanChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3744w x 5616h - (download 4k)
Usage
Dominant Color:
advertisement madick bette gordon jessie allouche sofine estelle berk usian locke rache poster allison id wall ecker short apart mural graffiti doniel carly document building sign nate q whorta ji nikx remember broder change now time well painting krinsky robin near brenner architecture wbtla text joey grant handwriting sanderson camp 时 forever ocean art
Detected Text
09 2009 20100 2012 9 am allison allouche bette brenner broder carly doniel ecker estelle forever gordon grant i id if joey jessie krinsky locke madick me nate nikx now o ocean q rache remember robin sofine sanderson there time whorta and apart berk but change for is ji near not short should the usian we well when 时
iso
100
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
overall
(22.75%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.16%)
failure
(-0.20%)
harmonious color
(2.11%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-70.26%)
intrusive object presence
(-5.40%)
lively color
(-0.05%)
low light
(6.52%)
noise
(-1.12%)
pleasant camera tilt
(-9.67%)
pleasant composition
(-33.72%)
pleasant lighting
(-34.13%)
pleasant pattern
(6.91%)
pleasant perspective
(10.16%)
pleasant post processing
(-0.04%)
pleasant reflection
(-1.87%)
pleasant symmetry
(2.37%)
sharply focused subject
(1.51%)
tastefully blurred
(1.85%)
well chosen subject
(-13.29%)
well framed subject
(20.00%)
well timed shot
(0.63%)
all
(-2.50%)
* 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.