Photos | Highlighted Treat - Chocolate Bar Debut at Trade Show
On display at a bustling trade show, a coveted chocolate bar captures the attention amid a vibrant scene of trade enthusiasts and tech paraphernalia. A sweet delight tempting one's senses, effortlessly merging the worlds of culinary art and technology. Amidst a backdrop of people, electronics and vivid plant life, this indulgent confection owns the moment in Fort Mason, 2023.
BLIP-2 Description:
a chocolate bar is displayed on a table at a trade showChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture glass est cafeteria plant building food chair flower footwear arrangement transportation fort tree pipe restaurant furniture shoe francisco icing dessert grocery hardware altar cream indoors prayer tabletop sweets church candy smoke rekognition_c electronics san car screen vehicle fir table monitor store market lighting potted tv cup computer mason shop
iso
2000
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-12-10T14:16:47.300000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(40.21%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.15%)
harmonious color
(1.61%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-48.10%)
intrusive object presence
(-7.03%)
lively color
(-4.63%)
low light
(23.05%)
noise
(-0.63%)
pleasant camera tilt
(-6.88%)
pleasant composition
(-54.30%)
pleasant lighting
(-15.47%)
pleasant pattern
(11.25%)
pleasant perspective
(1.17%)
pleasant post processing
(-6.03%)
pleasant reflection
(-2.51%)
pleasant symmetry
(0.54%)
sharply focused subject
(4.49%)
tastefully blurred
(26.93%)
well chosen subject
(-25.27%)
well framed subject
(17.53%)
well timed shot
(6.91%)
all
(-1.90%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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.