Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Elegant Kimono Portrait

Elegant Kimono Portrait

Caption

A beautiful woman in a traditional kimono poses for a photo during a trip to Tokyo with her friend Irma.

BLIP-2 Description:

a woman in a kimono is smiling for the camera

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Metadata

Capture date:

Saturday, January 4th, 2003 at 10:04:03 AM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

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

Tags

Albums

Photo Archive/2003/japan_trip/tokyo_with_irma tokyo_with_irma

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 (43.87%)

curation (50.00%)

highlight visibility (4.36%)

behavioral (70.56%)

failure (-0.68%)

harmonious color (-1.09%)

immersiveness (0.24%)

interaction (1.00%)

interesting subject (29.00%)

intrusive object presence (-7.69%)

lively color (6.70%)

low light (85.94%)

noise (-11.69%)

pleasant camera tilt (-3.16%)

pleasant composition (-9.86%)

pleasant lighting (-23.38%)

pleasant pattern (3.32%)

pleasant perspective (2.93%)

pleasant post processing (-0.95%)

pleasant reflection (-1.28%)

pleasant symmetry (0.68%)

sharply focused subject (3.69%)

tastefully blurred (-1.99%)

well chosen subject (-27.03%)

well framed subject (58.69%)

well timed shot (14.65%)

all (2.26%)

* 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.