Photos | Dining at Tatsuki Machida's Favorite Restaurant in 2002
Tatsuki Machida (center) enjoys a meal with friends at a cozy restaurant featuring a beautiful painting and comfortable leather chairs.
BLIP-2 Description:
a group of people sitting at a table in a restaurantMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
diner restaurant accessories architecture beer food table shoe plant formal cafe sign monitor electronics wear cafeteria shirt bottle dining room old_eecue alcohol baby fruit interior furniture indoors hardware dining pear chair room court bar building photography cup portrait pants screen produce computer plate footwear tie meal art painting tatsuki machida pub dish beverage counter glasses
overall
(19.93%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.54%)
failure
(-1.78%)
harmonious color
(0.69%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-44.36%)
intrusive object presence
(-2.27%)
lively color
(-13.55%)
low light
(94.43%)
noise
(-18.82%)
pleasant camera tilt
(-11.30%)
pleasant composition
(-78.32%)
pleasant lighting
(-51.61%)
pleasant pattern
(3.88%)
pleasant perspective
(-11.83%)
pleasant post processing
(0.95%)
pleasant reflection
(-1.87%)
pleasant symmetry
(0.07%)
sharply focused subject
(0.15%)
tastefully blurred
(-50.88%)
well chosen subject
(-32.76%)
well framed subject
(-51.27%)
well timed shot
(-19.13%)
all
(-12.50%)
* 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 with AI (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.