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:
car barefoot camping box shoreline vehicle footwear outdoors backpack shirt summer caravan pickup plant fun van picnic leisure activities sea swimwear bbq beach chair glasses surfing sunbathing hat land bikini sport furniture building architecture annual shorts junglescene automobile kubic_annual_bbq-kubic_annual_bbq handbag crowd cup water nature palm suv shelter transportation coast waves truck outdoor machine tree bag shoe accessories kubic
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.