Photos | Urban Survival Essentials: Fuel and Food in Presidio
Captured at Presidio, San Francisco, this image subtly embodies the essence of survival essentials in urban background. A bag of food alongside a gas can, bundled in perfect harmony. An unexpected yet charming showcase of the necessities of modern life. Two unidentified individuals, captured amidst the serenity of nature and the intrigue of urban design elements, add an intriguing narrative to this photograph.
BLIP-2 Description:
a bag of food sitting on a table next to a gas canChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
herbal rving tin packet brick atracha rock plant pad net food popular pantry dish make outdoors wt mix thai ne design container model amazing lime ever butter randoms noodles powder poster herbs indoors interior warning nature rekognition_c gas secret rice best oz ve ance peanuts entree backpackers casa peanut vegetables advertisement floor added box chicken
Detected Text
iso
640
metering mode
5
aperture
f/1.5
focal length
6mm
latitude
37.8
longitude
-122.48
shutter speed
1/38s
camera make
Apple
camera model
date
2023-09-26T20:52:53.947000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(26.81%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.39%)
failure
(-0.39%)
harmonious color
(6.33%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-59.52%)
intrusive object presence
(-3.64%)
lively color
(5.11%)
low light
(38.26%)
noise
(-7.10%)
pleasant camera tilt
(-3.44%)
pleasant composition
(-47.56%)
pleasant lighting
(-25.15%)
pleasant pattern
(1.34%)
pleasant perspective
(10.72%)
pleasant post processing
(-0.88%)
pleasant reflection
(-2.41%)
pleasant symmetry
(0.27%)
sharply focused subject
(2.05%)
tastefully blurred
(-1.87%)
well chosen subject
(-23.41%)
well framed subject
(11.45%)
well timed shot
(6.88%)
all
(-1.91%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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.