Photos | Popcorn Passions
A bag of delicious popcorn in a labeled container, perfect for snacking during a movie or as a treat on-the-go!
BLIP-2 Description:
a box of popcorn in a bag with a label on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Location:
advertisement box organic batch permit leah_artisntal_la produce artisntal grive water cook grain wheae poster baten pasta www satch leah issued mall food minutes book container publication sesame semolima angres ea carton kitchen boiling satted salted wheat menu semolina pernit cardboard los seasoning county mabe semolinapasta ssued ca conchiglie drive text small angeles paper mavis business card basta made la ni sade home rice
Detected Text
10 188 195178 198118 30vw 30yn 3139ny 433 435 458 501 8 8.10 90065 90069 angeles angres basta baten batch ca ca90065 conchiglie county cook ea grive home issued kitchen l los mabe mavis made ni or8anic organic pasta pernit permit s3130nv sade satch semolima semolina semolinapasta ssued salted small wheae www wheat a boiling com drive in is la mall minutes satted water
iso
3200
metering mode
5
aperture
f/2.8
focal length
32mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
overall
(25.54%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.07%)
failure
(-0.32%)
harmonious color
(-5.42%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-72.02%)
intrusive object presence
(-5.49%)
lively color
(-28.25%)
low light
(14.65%)
noise
(-1.32%)
pleasant camera tilt
(-7.00%)
pleasant composition
(-26.17%)
pleasant lighting
(-21.33%)
pleasant pattern
(15.14%)
pleasant perspective
(11.78%)
pleasant post processing
(-3.24%)
pleasant reflection
(-4.43%)
pleasant symmetry
(1.37%)
sharply focused subject
(1.17%)
tastefully blurred
(-4.61%)
well chosen subject
(7.06%)
well framed subject
(5.18%)
well timed shot
(-0.55%)
all
(-2.20%)
* 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.