Photos | Celebrating Success under the Night Sky
One of life's milestone moments - Nidhi Singh, surrounded by a proud crowd, with a heart full of joy, as he embraces his hard-earned achievement in his cap and gown! Taken at Disneyland during our 2023 trip with Wes. A night to remember!
BLIP-2 Description:
a man in a cap and gown stands in front of a crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
activities neighborhood urban leisure building footwear cap pedestrian outdoors hat sidewalk walkway restaurant road outdoor sky wes shoe city bag land street disneyland coat glasses indoors nidhi singh metropolis path life nature cameron backpack accessories night handbag walking lighting part vigil photography crowd dancing
iso
3200
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2023-06-12T21:07:23.344000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(19.36%)
curation
(65.28%)
highlight visibility
(5.52%)
behavioral
(70.70%)
failure
(-2.17%)
harmonious color
(2.78%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-58.74%)
intrusive object presence
(-5.42%)
lively color
(-39.70%)
low light
(98.19%)
noise
(-2.49%)
pleasant camera tilt
(-6.95%)
pleasant composition
(-91.26%)
pleasant lighting
(-51.61%)
pleasant pattern
(1.51%)
pleasant perspective
(-2.70%)
pleasant post processing
(5.40%)
pleasant reflection
(9.28%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.05%)
tastefully blurred
(-86.13%)
well chosen subject
(-5.86%)
well framed subject
(-54.05%)
well timed shot
(-16.69%)
all
(-11.87%)
* 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-4-0314
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.