Photos | Dining Out with Friends
Teylor D and a group of friends gather around the table for a fun lunch at a local restaurant.
BLIP-2 Description:
a group of people sitting at a table in a restaurantChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
lighting buffet machine room flinch wedding couch urban furniture dining bread tabletop baby hardware screen dj cafe jennyjenn bday court indoors accessories bag beverage photography lunch pleasure diner chair dish jewelry plate pub glasses pangea building christal cafeteria architecture footwear necklace cedrick food monitor utensil phrantek portrait interior table dining table dinner junglescene cup bride restaurant meal computer handbag eecue chrisk chris k teylor electronics tableware shoe
Detected Text
date
2002-08-29T14:52:22-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.64%)
curation
(70.43%)
highlight visibility
(6.07%)
behavioral
(90.78%)
failure
(-0.46%)
harmonious color
(-1.96%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-5.73%)
intrusive object presence
(-6.67%)
lively color
(-12.66%)
low light
(96.48%)
noise
(-3.69%)
pleasant camera tilt
(-11.77%)
pleasant composition
(-66.60%)
pleasant lighting
(-44.34%)
pleasant pattern
(8.11%)
pleasant perspective
(5.26%)
pleasant post processing
(1.37%)
pleasant reflection
(-2.06%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.44%)
tastefully blurred
(-16.65%)
well chosen subject
(-34.42%)
well framed subject
(-21.68%)
well timed shot
(5.12%)
all
(-6.44%)
* 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.