Photos | Three People Outside Convenience Store
A man and two women stand outside a convenience store, wearing coats and hats on a chilly day in January. The sign for the store is visible above them, along with a painting of a car. The trio wears jeans and casual clothing, with one woman in a t-shirt and the other in a long-sleeved blouse.
BLIP-2 Description:
three people standing outside a convenience storeChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
jacket knitwear cap city urban train long station car vehicle jeans blouse shopping transportation deli old sleeve accessories indoors sign photography bag shirt baseball outdoor jewelry street pants road sunglasses glasses building proper shop portrait sweater junglescene painting mall restaurant grocery store terminal handbag railway earring blazer hat art necklace coat
Detected Text
date
2003-01-20T02:14:23-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(32.32%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.85%)
harmonious color
(-4.92%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-21.09%)
intrusive object presence
(-12.67%)
lively color
(-21.42%)
low light
(71.78%)
noise
(-17.36%)
pleasant camera tilt
(-10.53%)
pleasant composition
(-65.58%)
pleasant lighting
(-52.59%)
pleasant pattern
(6.69%)
pleasant perspective
(-5.13%)
pleasant post processing
(2.12%)
pleasant reflection
(-2.27%)
pleasant symmetry
(0.85%)
sharply focused subject
(0.59%)
tastefully blurred
(1.54%)
well chosen subject
(-49.10%)
well framed subject
(-11.63%)
well timed shot
(-6.49%)
all
(-10.17%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.