Photos | Cozy Train Sweater
Bree B stays warm in her knit sweater as she takes the bullet train through Kobe City on her Japan trip in 2003.
BLIP-2 Description:
a woman wearing a sweaterChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
train boy spoke necklace urban optical building kanocho portrait mobile sweater equipment transportation bree chuo road outdoor jacket city bag eyeglasses mall street strap japan bullet_train hardware machine coat glasses bullet teen bicycle sunglasses electronics sign rekognition_c car vehicle jewelry screen accessories shopping monitor trip earring automobile phone photography computer shop handbag knitwear
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/80s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2002-01-04T00:00:17-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(33.62%)
curation
(69.42%)
highlight visibility
(5.84%)
behavioral
(70.62%)
failure
(-0.63%)
harmonious color
(2.38%)
immersiveness
(0.20%)
interaction
(2.00%)
interesting subject
(-23.36%)
intrusive object presence
(-6.57%)
lively color
(-7.95%)
low light
(7.10%)
noise
(-6.01%)
pleasant camera tilt
(-3.77%)
pleasant composition
(-53.76%)
pleasant lighting
(-20.50%)
pleasant pattern
(2.37%)
pleasant perspective
(0.10%)
pleasant post processing
(2.90%)
pleasant reflection
(-2.71%)
pleasant symmetry
(0.24%)
sharply focused subject
(1.66%)
tastefully blurred
(-18.80%)
well chosen subject
(-58.84%)
well framed subject
(45.95%)
well timed shot
(1.75%)
all
(-4.56%)
* 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.