Photos | Dining at the Restaurant
Rika Matsumoto enjoying a delicious meal with friends at a cozy restaurant in 2002.
BLIP-2 Description:
a man sitting at a table with foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
february room furniture rika matsumoto bread weapon tabletop dining child teen cafe court girl indoors winter bag accessories photography jewelry knife lunch chair dish plate building cafeteria footwear architecture old_eecue food portrait blade table dining table boy interior cup restaurant scissors meal handbag necklace shoe
date
2003-02-04T11:14:10-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(25.15%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.72%)
failure
(-0.32%)
harmonious color
(-1.61%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-43.36%)
intrusive object presence
(-12.84%)
lively color
(-0.37%)
low light
(13.18%)
noise
(-10.79%)
pleasant camera tilt
(-8.62%)
pleasant composition
(-71.53%)
pleasant lighting
(-38.67%)
pleasant pattern
(8.64%)
pleasant perspective
(-6.18%)
pleasant post processing
(-2.45%)
pleasant reflection
(-4.14%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.24%)
tastefully blurred
(-12.01%)
well chosen subject
(-44.97%)
well framed subject
(-29.59%)
well timed shot
(-13.04%)
all
(-9.67%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.