Photos | The LA Clippers Take on the Competition at Staples Center
Aljona Savchenko and Lee Sang-hoon join the spirited crowd for a thrilling and action-packed Basketball Game. The brightly lit scoreboard and lively sign complete the electrifying atmosphere at the Arena in 2017.
BLIP-2 Description:
the clippers at the staples centerChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
architecture building footwear clippe lamp hat basketball outdoor toshiba ballgames csulb bag shoe basketball game scoreboard venue adelt hardware hoon audience bud sign electronics education verizon sport light screen arena accessories aljona savchenko yota monitor recreation handbag sports lighting sang computer lee crowd spirii
iso
64
metering mode
5
aperture
f/2.4
exposure bias
0.97
focal length
6mm
shutter speed
1/60s
camera make
Apple
camera model
lens model
date
2017-11-05T14:06:07.805000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(40.92%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.30%)
failure
(-0.63%)
harmonious color
(-0.57%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(4.10%)
intrusive object presence
(-5.59%)
lively color
(13.83%)
low light
(47.53%)
noise
(-5.32%)
pleasant camera tilt
(-9.58%)
pleasant composition
(-47.34%)
pleasant lighting
(-22.58%)
pleasant pattern
(17.99%)
pleasant perspective
(4.35%)
pleasant post processing
(2.51%)
pleasant reflection
(-5.84%)
pleasant symmetry
(0.98%)
sharply focused subject
(0.95%)
tastefully blurred
(1.10%)
well chosen subject
(-9.69%)
well framed subject
(-18.81%)
well timed shot
(10.53%)
all
(0.35%)
* 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-3.5-turbo-0301
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.