Photos | The Ghost of Christmas Past at Dickens Fair
Costumed in a deep green robe and cradling a calming candlelight, the man left the onlookers in awe. Captured amidst the engaging crowd of Dickens Christmas Fair 2023, this image encapsulates the magical blend of lights, color, and holiday spirit. Leda Gloria made sure to illuminate the festive charm of the fair exquisitely!
BLIP-2 Description:
a man dressed in a green robe and holding a candleMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
urban arrangement produce dress night leda gloria portrait festival restaurant costume eek formal footwear bag food necklace city evening fashion jewelry flower dickens lighting shoe handbag gown coat flower bouquet food court christmas plant life hat fair fruit wear cloak accessories photography indoors market crowd
iso
51200
metering mode
5
aperture
f/3.2
exposure bias
0.32999999999999996
focal length
24mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
overall
(44.34%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-0.37%)
harmonious color
(1.66%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(10.47%)
intrusive object presence
(-4.71%)
lively color
(-48.17%)
low light
(66.70%)
noise
(-2.71%)
pleasant camera tilt
(-5.18%)
pleasant composition
(-57.76%)
pleasant lighting
(-50.78%)
pleasant pattern
(1.95%)
pleasant perspective
(-1.97%)
pleasant post processing
(4.05%)
pleasant reflection
(2.58%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.56%)
tastefully blurred
(-22.29%)
well chosen subject
(-38.33%)
well framed subject
(26.34%)
well timed shot
(12.33%)
all
(-6.81%)
* 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.