Photos | Thumbs Up for Japanese Adventure

Dave B and his young companion share a moment of joy and excitement during their trip to Japan in 2003, posing in front of a traditional cabinet while giving the thumbs up.
BLIP-2 Description:
a man and a boy giving thumbs upMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
architecture cutlery dining table nakagyo door optical plant building food portrait chair flower baby kobe fruit equipment cabinet plush wristwatch cupboard furniture eyeglasses japan china toilet closet dave shirt mouth glasses indoors teeth coat dining kamihonnojimaecho sunglasses table room accessories trip bear part potted photography smile happy bathroom produce goggles teddy toy
flash fired
true
iso
100
metering mode
5
aperture
f/5.6
focal length
6mm
shutter speed
1/30s
camera make
OLYMPUS OPTICAL CO.,LTD
camera model
date
2003-01-07T23:36:10-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(39.18%)
curation
(65.92%)
highlight visibility
(5.57%)
behavioral
(70.62%)
failure
(-0.49%)
harmonious color
(-2.71%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(22.96%)
intrusive object presence
(-6.62%)
lively color
(0.19%)
low light
(89.36%)
noise
(-10.94%)
pleasant camera tilt
(-2.84%)
pleasant composition
(-19.13%)
pleasant lighting
(-24.12%)
pleasant pattern
(3.54%)
pleasant perspective
(-3.23%)
pleasant post processing
(-0.62%)
pleasant reflection
(-4.17%)
pleasant symmetry
(0.71%)
sharply focused subject
(1.71%)
tastefully blurred
(-6.56%)
well chosen subject
(-33.67%)
well framed subject
(50.54%)
well timed shot
(5.20%)
all
(-1.16%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.