Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Cityscapes from the Comfort of a Car

Cityscapes from the Comfort of a Car

Caption

Enjoying the view from the car's cushy seats with curtains and window shades, taking in the sights of Hong Kong's hustle and bustle.

BLIP-2 Description:

a view of the city from inside a car

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Metadata

Capture date:

Monday, January 13th, 2003 at 2:17:20 AM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

Hong Kong, Kowloon, Hong Kong SAR, China (22.31,114.17)

Tags

home decor vehicle shade hong_kong transportation chair kong furniture car car - exterior japan cushion trip hong window curtain

Albums

Photo Archive/2003/japan_trip/hong_kong hong_kong

Places

Venues

EXIF Data:

metering mode

5

aperture

f/2.5

focal length

6mm

shutter speed

1/400s

camera make

CASIO COMPUTER CO.,LTD.

camera model

Apple Photos ML Scores

overall (31.32%)

curation (50.00%)

highlight visibility (4.35%)

behavioral (70.27%)

failure (-1.42%)

harmonious color (2.29%)

immersiveness (1.76%)

interaction (1.00%)

interesting subject (-50.83%)

intrusive object presence (-18.38%)

lively color (-12.78%)

low light (65.53%)

noise (-9.33%)

pleasant camera tilt (-13.20%)

pleasant composition (-44.78%)

pleasant lighting (-35.13%)

pleasant pattern (11.96%)

pleasant perspective (3.47%)

pleasant post processing (3.18%)

pleasant reflection (-8.78%)

pleasant symmetry (2.64%)

sharply focused subject (1.37%)

tastefully blurred (-12.55%)

well chosen subject (-8.91%)

well framed subject (18.51%)

well timed shot (1.34%)

all (-3.54%)

* 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.