Photos | Dining at a Convention Center in Kissimmee

Ni Hua and 17 other guests enjoy a meal at a bustling restaurant inside a convention center in Kissimmee, Florida. The decorative plants, comfortable furniture, and skylights make for a pleasant atmosphere.
BLIP-2 Description:
people are sitting at tables in a large roomMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
floor pants photography ir bui cafeteria interior nterpris table outdoors footwear potted cafe restaurant food plant urban decorative aboration ni hua communications lighting city dining advertisement chair sign path design office flooring building furniture architecture shoe skylight handbag portrait crowd future cup welcome shelter window convention center terminal court banner tree dining room room bag indoors accessories
iso
32
metering mode
5
aperture
f/1.8
focal length
2mm
latitude
28.34
longitude
-81.53
shutter speed
1/134s
camera make
Apple
camera model
date
2022-03-23T11:03:56.358000-04:00
tzoffset
-14400
tzname
GMT-0400
overall
(39.01%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.53%)
failure
(-0.32%)
harmonious color
(3.35%)
immersiveness
(2.27%)
interaction
(8.00%)
interesting subject
(-32.91%)
intrusive object presence
(-8.06%)
lively color
(2.86%)
low light
(10.08%)
noise
(-1.93%)
pleasant camera tilt
(-6.70%)
pleasant composition
(-49.24%)
pleasant lighting
(-2.11%)
pleasant pattern
(14.87%)
pleasant perspective
(8.44%)
pleasant post processing
(-0.02%)
pleasant reflection
(-0.60%)
pleasant symmetry
(1.59%)
sharply focused subject
(0.83%)
tastefully blurred
(-0.37%)
well chosen subject
(-24.73%)
well framed subject
(-33.47%)
well timed shot
(-0.78%)
all
(0.55%)
* 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.
* 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.