Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Urban Scenery from a Train Window

Urban Scenery from a Train Window

Caption

A view of a city street filled with cars and surrounded by lush vegetation as seen through a train window in Kobe, Japan in 2003.

BLIP-2 Description:

a view of a city street from a train window

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Metadata

Capture date:

Tuesday, January 7th, 2003 at 11:35:49 PM

Original Dimensions:

480w x 640h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

Nishishinjuku, Shinjuku, Kanto, Japan (35.69,139.69)

Tags

Albums

Photo Archive/2003/japan_trip/kobe kobe

Places

Tokyo Metropolitan Government Office

Venues

BASE Third Place Bar Udatsu Sushi View & Kitchen Quad 17 Asian Cuisine Dining Japanese Cuisine Restaurant Sushi Restaurant

EXIF Data:

iso

60

metering mode

5

aperture

f/2.9

focal length

6mm

shutter speed

1/800s

camera make

OLYMPUS OPTICAL CO.,LTD

camera model

Apple Photos ML Scores

overall (28.08%)

curation (50.00%)

highlight visibility (4.36%)

behavioral (70.50%)

failure (-0.71%)

harmonious color (-1.15%)

immersiveness (0.93%)

interaction (1.00%)

interesting subject (-60.21%)

intrusive object presence (-8.74%)

lively color (-7.81%)

low light (6.59%)

noise (-2.93%)

pleasant camera tilt (-11.69%)

pleasant composition (-50.63%)

pleasant lighting (-46.95%)

pleasant pattern (5.54%)

pleasant perspective (4.57%)

pleasant post processing (4.87%)

pleasant reflection (-6.80%)

pleasant symmetry (0.51%)

sharply focused subject (0.10%)

tastefully blurred (-12.19%)

well chosen subject (-4.12%)

well framed subject (-18.99%)

well timed shot (4.79%)

all (-4.91%)

* 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.