Photos | Summer Beach BBQ
A group of 30 people soak up the sun and enjoy some BBQ on the beach, sitting on chairs and lounging on the shore near an SUV. The palm trees sway gently in the breeze as the sea waves crash in the background, making for a perfect summer day.
BLIP-2 Description:
a group of people sitting on the beach near a carChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture summer surfing barefoot plant building beach chair footwear sunbathing pickup sea transportation hat outdoors tree van furniture outdoor shoe bag swimwear land suv annual machine truck fun waves shirt junglescene glasses water shorts picnic nature bbq car vehicle backpack sport camping accessories handbag coast kubic kubic_annual_bbq-kubic_annual_bbq shoreline automobile bikini palm cup caravan leisure activities crowd box shelter
Detected Text
date
2002-08-29T14:29:41-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.03%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.63%)
failure
(-0.20%)
harmonious color
(-1.77%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-40.21%)
intrusive object presence
(-19.12%)
lively color
(4.06%)
low light
(0.73%)
noise
(-5.10%)
pleasant camera tilt
(-12.23%)
pleasant composition
(-87.16%)
pleasant lighting
(-2.94%)
pleasant pattern
(4.74%)
pleasant perspective
(-7.51%)
pleasant post processing
(1.34%)
pleasant reflection
(8.21%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.29%)
tastefully blurred
(2.14%)
well chosen subject
(-29.20%)
well framed subject
(-58.35%)
well timed shot
(3.42%)
all
(-4.03%)
* 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.