Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Winter Accessories in Tokyo

Winter Accessories in Tokyo

Caption

A woman stays warm in a hat, gloves, and scarf while exploring Tokyo's Shinjuku district during a winter trip in 2003.

BLIP-2 Description:

a woman wearing a hat and gloves

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Metadata

Capture date:

Tuesday, January 7th, 2003 at 10:11:27 AM

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/shibuya shibuya

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:

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 (44.43%)

curation (50.00%)

highlight visibility (4.36%)

behavioral (70.57%)

failure (-0.15%)

harmonious color (2.87%)

immersiveness (0.42%)

interaction (1.00%)

interesting subject (21.37%)

intrusive object presence (-5.32%)

lively color (-14.83%)

low light (1.54%)

noise (-7.35%)

pleasant camera tilt (-1.85%)

pleasant composition (-0.93%)

pleasant lighting (-5.40%)

pleasant pattern (3.22%)

pleasant perspective (8.53%)

pleasant post processing (-1.00%)

pleasant reflection (0.45%)

pleasant symmetry (0.56%)

sharply focused subject (3.81%)

tastefully blurred (-7.93%)

well chosen subject (-33.13%)

well framed subject (66.21%)

well timed shot (9.42%)

all (3.48%)

* 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.