Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Night Staircase

Night Staircase

Caption

A man stands on the staircase of a housing building, silhouetted against the Tokyo skyline at night.

BLIP-2 Description:

a man is standing on the stairs at night

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Metadata

Capture date:

Friday, January 10th, 2003 at 5:03:25 AM

Original Dimensions:

480w x 640h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Dark Side of the Moon

Location:

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

Tags

stairs outdoors silhouette architecture nature handrail night housing staircase harijuku lighting house japan trip nishishinjuku dungeon building darkness

Albums

Photo Archive/2003/japan_trip/harijuku harijuku

Places

Tokyo Metropolitan Government Office

Venues

EXIF Data:

flash fired

true

metering mode

5

aperture

f/2.5

focal length

6mm

shutter speed

1/30s

camera make

CASIO COMPUTER CO.,LTD.

camera model

Apple Photos ML Scores

overall (36.01%)

curation (50.00%)

highlight visibility (4.35%)

behavioral (70.31%)

failure (-3.69%)

harmonious color (-0.52%)

immersiveness (2.47%)

interaction (1.00%)

interesting subject (-54.00%)

intrusive object presence (-3.30%)

lively color (-7.12%)

low light (99.90%)

noise (-11.40%)

pleasant camera tilt (-2.96%)

pleasant composition (-21.44%)

pleasant lighting (-42.60%)

pleasant pattern (25.51%)

pleasant perspective (5.48%)

pleasant post processing (3.69%)

pleasant reflection (-1.14%)

pleasant symmetry (2.76%)

sharply focused subject (1.05%)

tastefully blurred (0.08%)

well chosen subject (0.07%)

well framed subject (-25.59%)

well timed shot (9.97%)

all (0.22%)

* 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.