Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Riding the Rails with Safety and Style

Riding the Rails with Safety and Style

Caption

A woman and her baby board a sleek and modern train at the Tokyo Metropolitan Government Office, where safety and style go hand in hand.

BLIP-2 Description:

a train with a large sign on the wall

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Metadata

Capture date:

Friday, January 10th, 2003 at 5:12:02 AM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

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

Tags

vehicle aircraft machine baby transportation motor engine electrical railway device nishishinjuku appliance train handrail

Albums

Photo Archive/2005/10 10

Places

Tokyo Metropolitan Government Office

Venues

EXIF Data:

metering mode

5

aperture

f/2.5

focal length

6mm

shutter speed

1/60s

camera make

CASIO COMPUTER CO.,LTD.

camera model

Apple Photos ML Scores

overall (30.79%)

curation (50.00%)

highlight visibility (2.45%)

behavioral (70.33%)

failure (-0.49%)

harmonious color (-2.10%)

immersiveness (0.56%)

interaction (1.00%)

interesting subject (-34.89%)

intrusive object presence (-7.37%)

lively color (-11.91%)

low light (46.90%)

noise (-2.29%)

pleasant camera tilt (-14.16%)

pleasant composition (-70.31%)

pleasant lighting (-56.98%)

pleasant pattern (14.04%)

pleasant perspective (4.39%)

pleasant post processing (0.17%)

pleasant reflection (-5.69%)

pleasant symmetry (3.03%)

sharply focused subject (0.51%)

tastefully blurred (4.06%)

well chosen subject (5.43%)

well framed subject (-25.27%)

well timed shot (0.32%)

all (-7.11%)

* 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.