Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Busy Nightlife in the Streets of Tokyo

Busy Nightlife in the Streets of Tokyo

Caption

Pedestrians, vehicles, and street vendors fill the bustling road while the night sky illuminates the metropolis with neon lights and lampposts.

BLIP-2 Description:

a busy street at night

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Metadata

Capture date:

Friday, January 10th, 2003 at 4:06:37 AM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

High Forest Green

Location:

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

Tags

Albums

Photo Archive/2003/japan_trip/harijuku harijuku

Places

Tokyo Metropolitan Government Office

Venues

EXIF Data:

metering mode

5

aperture

f/2.5

focal length

6mm

shutter speed

1/8s

camera make

CASIO COMPUTER CO.,LTD.

camera model

date

2002-01-10T04:06:37-08:00

tzoffset

-28800

tzname

America/Los_Angeles

Scores

overall (2.70%)

curation (50.00%)

highlight visibility (2.60%)

behavioral (90.73%)

failure (-8.91%)

harmonious color (-1.98%)

immersiveness (0.10%)

interaction (1.00%)

interesting subject (-68.99%)

intrusive object presence (-5.10%)

lively color (-49.98%)

low light (99.95%)

noise (-31.23%)

pleasant camera tilt (-12.32%)

pleasant composition (-88.87%)

pleasant lighting (-78.22%)

pleasant pattern (2.71%)

pleasant perspective (-4.96%)

pleasant post processing (-2.63%)

pleasant reflection (-5.06%)

pleasant symmetry (0.15%)

sharply focused subject (0.02%)

tastefully blurred (-86.47%)

well chosen subject (-12.85%)

well framed subject (-54.93%)

well timed shot (-15.82%)

all (-18.25%)

* 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.