Photos | Dave B striking a pose in Kobe

Dave B took a break from exploring Tokyo and struck a pose for a picture in his stylish jacket and jeans in Kobe during his 2003 trip to Japan.
BLIP-2 Description:
a man posing for a pictureMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
architecture beer train jeans pants appliance urban building compute portrait microwave food kobe ¥ beverage outdoors transportation oven road jacket text ice bag city station street dessert japan hardware machine dave alcohol coat cream indoors electrical vending mac electronics sign vehicle screen accessories monitor railway trip device ez nishishinjuku tv photography terminal cup print computer から handbag apple shelter
flash fired
true
iso
100
metering mode
5
aperture
f/2.9
focal length
6mm
shutter speed
1/30s
camera make
OLYMPUS OPTICAL CO.,LTD
camera model
date
2003-01-07T23:35:43-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(31.23%)
curation
(65.52%)
highlight visibility
(5.54%)
behavioral
(70.62%)
failure
(-0.34%)
harmonious color
(-3.70%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-15.72%)
intrusive object presence
(-8.42%)
lively color
(-23.22%)
low light
(36.08%)
noise
(-9.94%)
pleasant camera tilt
(-8.37%)
pleasant composition
(-49.44%)
pleasant lighting
(-47.95%)
pleasant pattern
(3.59%)
pleasant perspective
(8.37%)
pleasant post processing
(-0.85%)
pleasant reflection
(-5.84%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.27%)
tastefully blurred
(-14.98%)
well chosen subject
(-36.79%)
well framed subject
(21.57%)
well timed shot
(4.51%)
all
(-7.00%)
* 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.