Photos | 2023 Dickens Christmas Fair: Under the Urban Night Sky

On December 9th, 2023, a captivated crowd, including personalities like Kate Spade, Charlie Daniels, and Shemp Howard, gathered in a large room bathed in the warm glow of two lamps. Their faces, illuminated by the city's urban nightlife, reflected the palpable excitement of the evening. Encased by a kaleidoscope of accessories, glasses, and hats, the audience stood entranced before the vigour of the stage, dancing between the lines of party and concert. This was the 2023 Dickens Christmas Fair - an indoor market of joy, creativity, and unity.
BLIP-2 Description:
a crowd of people in a large room with a stageMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
Detected Text
iso
51200
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-12-09T15:39:13.310000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(42.11%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.25%)
failure
(-0.46%)
harmonious color
(3.27%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-19.18%)
intrusive object presence
(-5.25%)
lively color
(-27.76%)
low light
(75.39%)
noise
(-3.37%)
pleasant camera tilt
(-8.70%)
pleasant composition
(-76.66%)
pleasant lighting
(-30.98%)
pleasant pattern
(6.69%)
pleasant perspective
(0.59%)
pleasant post processing
(1.98%)
pleasant reflection
(-0.65%)
pleasant symmetry
(1.56%)
sharply focused subject
(0.32%)
tastefully blurred
(-13.24%)
well chosen subject
(13.05%)
well framed subject
(-51.51%)
well timed shot
(12.18%)
all
(-3.62%)
* 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-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.