Photos | Aqua Frees Advertisement

A man stands next to an Aqua Frees sign on the tarmac in San Francisco, advertising bread, food, and more.
BLIP-2 Description:
a man standing next to a sign that says aqua freesMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Location:
vucca corn passion pumpkin chipo food plantain hyde spinach fruit meat products handmade ricken lemon la oil spicy road eat mango text black gluten ml seed tarmac strawberry maracuja pineapple cocina no aguas yucca poster heights lard frescas garlic chips banner sign snacks ich green rice bread zucchini sp catering yellow bear st milk horchata free advertisement bernal cinnamon onion peas nade
Detected Text
101 41 a aguas and are bear black c catering chipo chips cinnamon cocina corn d eat free frescas fruit garlic gluten green handmade have horchata hyde ich la lard lemon mango maracuja meat milk ml nade no not oil onion or our passion peas pineapple plantain products pumpkin rice ricken seed snacks sp spicy spinach st strawberry vucca with yellow yucca zucchini
iso
50
metering mode
5
aperture
f/1.5
focal length
6mm
latitude
37.74
longitude
-122.41
shutter speed
1/1124s
camera make
Apple
camera model
date
2022-06-11T12:06:00.590000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(15.15%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.41%)
failure
(-0.59%)
harmonious color
(4.57%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-64.36%)
intrusive object presence
(-68.46%)
lively color
(32.13%)
low light
(0.27%)
noise
(-5.59%)
pleasant camera tilt
(-8.32%)
pleasant composition
(-61.08%)
pleasant lighting
(-5.23%)
pleasant pattern
(1.90%)
pleasant perspective
(-11.48%)
pleasant post processing
(8.02%)
pleasant reflection
(1.06%)
pleasant symmetry
(0.29%)
sharply focused subject
(1.39%)
tastefully blurred
(-15.03%)
well chosen subject
(-19.95%)
well framed subject
(15.15%)
well timed shot
(4.97%)
all
(-1.67%)
* 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.