Photos | Melodies in Little Tokyo

Wakako Hironaka performs for an audience in Little Tokyo, showcasing her musical talent and stylish formal wear, complete with sunglasses to match. The sound of her guitar fills the air, amplified by a set of speakers nearby.
BLIP-2 Description:
a man playing a guitarMetadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
string activities leisure string instrument hironaka music child speaker gown footwear eos musical instrument microphone musician girl jacket entertainer performance tokyo shoe chordophone fashion wakako coat glasses shorts electrical january winter sunglasses electronics rekognition_c performer accessories musical instrument recreation formal wear speakers canon device part guitar dress little
iso
400
metering mode
5
aperture
f/2
exposure bias
-2
focal length
85mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2006-01-21T13:22:50-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(49.27%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.56%)
failure
(-0.44%)
harmonious color
(1.26%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(10.91%)
intrusive object presence
(-11.21%)
lively color
(18.77%)
low light
(15.63%)
noise
(-4.86%)
pleasant camera tilt
(1.86%)
pleasant composition
(-26.05%)
pleasant lighting
(-4.53%)
pleasant pattern
(4.30%)
pleasant perspective
(8.93%)
pleasant post processing
(-0.43%)
pleasant reflection
(-1.69%)
pleasant symmetry
(0.24%)
sharply focused subject
(15.06%)
tastefully blurred
(50.39%)
well chosen subject
(-21.47%)
well framed subject
(45.95%)
well timed shot
(3.13%)
all
(4.47%)
* 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.