Photos | Gathering at the Canopied Tent
A group of 13 people, including 4 men and a teen, stand outside a monastery-shaped building in the urban neighborhood, chatting and sipping beverages in the canopy tent's shade, surrounded by lush foliage and potted plants. Five hats and six baseball caps provide protection from the sun.
BLIP-2 Description:
a group of people standing around a tentChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
architecture villa boy pants neighborhood urban plant building window footwear cap pedestrian outdoors tent hat walkway crowd tree road house text baseball cap city bag shoe foliage street shirt junglescene teen path bus nature banner bbq alley accessories walking canopy housing potted stop garden cup handbag monastery shelter
Detected Text
date
2002-08-29T14:25:06-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(22.06%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-1.27%)
harmonious color
(0.02%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-54.74%)
intrusive object presence
(-10.18%)
lively color
(3.50%)
low light
(7.20%)
noise
(-6.42%)
pleasant camera tilt
(-10.05%)
pleasant composition
(-79.35%)
pleasant lighting
(-31.76%)
pleasant pattern
(4.71%)
pleasant perspective
(-4.25%)
pleasant post processing
(0.21%)
pleasant reflection
(1.16%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.29%)
tastefully blurred
(-16.80%)
well chosen subject
(-24.87%)
well framed subject
(-59.42%)
well timed shot
(-8.16%)
all
(-7.82%)
* 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.