Photos | Waiting for the Bullet Train
Zeng Yi enjoys a cold beer while waiting for the bullet train at Tokyo's Shinjuku Station during her 2003 trip to Japan.
BLIP-2 Description:
a woman holding a can of beer at a train stationMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
urban factory street portrait glasses transportation costume trip skirt nishishinjuku bag train bullet_train zeng yi mait city bench lager building handbag tin japan cup road beverage vehicle architecture bullet station hat terminal beer furniture alcohol railway photography headgear accessories jar cap
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/50s
camera make
CASIO COMPUTER CO.,LTD.
camera model
overall
(20.37%)
curation
(60.00%)
highlight visibility
(5.27%)
behavioral
(90.78%)
failure
(-1.12%)
harmonious color
(-6.09%)
immersiveness
(1.29%)
interaction
(2.00%)
interesting subject
(-38.77%)
intrusive object presence
(-7.93%)
lively color
(-23.41%)
low light
(7.69%)
noise
(-13.55%)
pleasant camera tilt
(-7.59%)
pleasant composition
(-61.18%)
pleasant lighting
(-59.81%)
pleasant pattern
(7.15%)
pleasant perspective
(-3.02%)
pleasant post processing
(-6.59%)
pleasant reflection
(-4.61%)
pleasant symmetry
(1.20%)
sharply focused subject
(0.24%)
tastefully blurred
(-25.12%)
well chosen subject
(-30.18%)
well framed subject
(-18.20%)
well timed shot
(-5.94%)
all
(-11.57%)
* 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.
* 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.