Photos | A Dickensian Christmas: Revelry in Costume
Dec 9, 2023 - Immersed in the Victorian era at the Dickens Christmas Fair, Allan Caswell, Earl Woods, Deng Nan among others join the spirited crowd. Festooned in striking hats and costumes, they belt out timeless carols, their faces aglow with joy. The evening is a splendid festival of laughter and song, the eclectic mix of hats, glasses, and handbags adding an unusual, yet charming flair to the celebration. The surrounding foliage lends a touch of urban freshness, while the warm glow of lamps cast a magical light onto the whimsical night.
BLIP-2 Description:
a crowd of people in costumes and hats are singingChronologically 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:
iso
51200
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
70mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(36.82%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.51%)
harmonious color
(-1.91%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-2.30%)
intrusive object presence
(-56.45%)
lively color
(-41.41%)
low light
(44.09%)
noise
(-4.49%)
pleasant camera tilt
(-12.38%)
pleasant composition
(-88.57%)
pleasant lighting
(-39.23%)
pleasant pattern
(3.08%)
pleasant perspective
(-6.38%)
pleasant post processing
(5.24%)
pleasant reflection
(0.27%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.27%)
tastefully blurred
(-18.46%)
well chosen subject
(1.72%)
well framed subject
(-35.52%)
well timed shot
(19.97%)
all
(-6.88%)
* 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.