Photos | Dining Room Delight
Four males enjoy a meal together, surrounded by furniture and tableware at a restaurant in 2003. The group sports casual clothing, with two of the men wearing baseball hats and one wearing a necklace and bracelet. Two cups, five plates, and utensils sit on the wooden tabletop.
BLIP-2 Description:
a group of people eatingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture cutlery dining table bracelet cafeteria headgear jeans boy tableware spoon necklace building meal baseball food portrait child brunch cap dish plywood hat dinner restaurant furniture utensil court wood breakfast eating photos/hackers_and_my_office old shirt junglescene indoors lunch teen tabletop dining jewelry fork table room accessories office couch plate photography cup hackers
Detected Text
date
2003-01-23T13:52:40-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(28.52%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.72%)
failure
(-0.61%)
harmonious color
(1.29%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-34.13%)
intrusive object presence
(-10.57%)
lively color
(-8.81%)
low light
(9.35%)
noise
(-10.42%)
pleasant camera tilt
(-8.23%)
pleasant composition
(-75.54%)
pleasant lighting
(-31.98%)
pleasant pattern
(4.08%)
pleasant perspective
(-3.82%)
pleasant post processing
(2.98%)
pleasant reflection
(1.88%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.20%)
tastefully blurred
(-21.11%)
well chosen subject
(-17.82%)
well framed subject
(-47.02%)
well timed shot
(-6.46%)
all
(-6.93%)
* 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.