Photos | Hangin' with the Crew
Lori H and four other men enjoy drinks and good company at a table in a bustling restaurant. Their wristwatches, handbags, and accessories are on display as they relax in their casual clothing and jeans. The urban, indoor setting provides a backdrop for the lively crowd around them.
BLIP-2 Description:
a group of people sitting at a table with a drinkChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
384w x 252h - (download 4k)
Usage
Dominant Color:
baseball glove housing cap randoms urban furniture ladx glove sum_randoms-_ sitting jeans lori cardboard wristwatch indoors bag accessories shirt baseball window jewelry sport pants conference webmasta building cafeteria architecture crowd backpack lifejacket bench package table sum junglescene cup carton restaurant delivery hostel handbag vest box hat necklace
Detected Text
date
2002-08-29T12:37:26-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(18.53%)
curation
(65.27%)
highlight visibility
(5.68%)
behavioral
(90.73%)
failure
(-1.64%)
harmonious color
(-1.26%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-56.49%)
intrusive object presence
(-15.38%)
lively color
(4.09%)
low light
(74.51%)
noise
(-36.50%)
pleasant camera tilt
(-5.00%)
pleasant composition
(-66.26%)
pleasant lighting
(-59.23%)
pleasant pattern
(4.64%)
pleasant perspective
(-6.98%)
pleasant post processing
(0.24%)
pleasant reflection
(-0.42%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.24%)
tastefully blurred
(-8.64%)
well chosen subject
(-36.84%)
well framed subject
(-36.25%)
well timed shot
(-18.58%)
all
(-11.27%)
* 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.