Photos | High Spirits at the 2023 Dickens Christmas Fair
Capturing an engrossing festive moment from the 2023 Dickens Christmas Fair, this image reflects the mesmerizing yuletide ambience crafted on the stage. The crowd filled with holiday cheer, the stage aglow with warm lighting, and the room resonating with joyous music all contribute to the magic of this timeless Christmas tradition. In every corner, there's a story—the anticipation of the bride, the wonderment of a child, the shared laughter of friends, and the captivating performance on stage. Here’s celebrating the joy of the season together!
BLIP-2 Description:
a crowd of people in a room with a stageMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
pc urban auditorium lamp church glasses fir baby child festival christmas tree music musician eek bag bride horn hall altar theater tree prayer brass musical instrument band concert leisure activities section building performer stage wedding dickens lighting electronics handbag decoration boy christmas plant performance architecture speaker group hat fair audience accessories laptop indoors computer crowd
iso
20000
metering mode
5
aperture
f/2.8
focal length
27mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
overall
(29.20%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.38%)
failure
(-0.44%)
harmonious color
(-1.48%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-56.40%)
intrusive object presence
(-10.67%)
lively color
(-32.15%)
low light
(69.97%)
noise
(-1.03%)
pleasant camera tilt
(-12.24%)
pleasant composition
(-84.47%)
pleasant lighting
(-32.03%)
pleasant pattern
(9.79%)
pleasant perspective
(-8.78%)
pleasant post processing
(-17.58%)
pleasant reflection
(-0.18%)
pleasant symmetry
(1.32%)
sharply focused subject
(0.27%)
tastefully blurred
(-4.37%)
well chosen subject
(-7.85%)
well framed subject
(-58.01%)
well timed shot
(1.37%)
all
(-9.64%)
* 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.