Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Portrait of a Teen Girl Sitting in Front of a Blue Building

Portrait of a Teen Girl Sitting in Front of a Blue Building

Caption

A young girl poses for a portrait while sitting on a folding chair in Ensenada, Mexico in 2002.

BLIP-2 Description:

a woman sitting on a chair in front of a blue building

Chronologically Adjacent

Previous chronologically

Next chronologically

Note: You can also navigate with your arrow keys or swiping.

Metadata

Capture date:

Monday, September 23rd, 2002 at 10:51:08 AM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

Zona Centro, Ensenada, Baja California, Mexico (31.86,-116.62)

Tags

Detected Text

com junglescene

Albums

Photo Archive/Old Photos/futura_mexico futura_mexico

Places

Venues

EXIF Data:

date

2002-09-23T10:51:08-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (38.92%)

curation (50.00%)

highlight visibility (4.36%)

behavioral (70.58%)

failure (-0.27%)

harmonious color (1.77%)

immersiveness (0.68%)

interaction (1.00%)

interesting subject (15.48%)

intrusive object presence (-15.53%)

lively color (-1.31%)

low light (22.29%)

noise (-4.66%)

pleasant camera tilt (-3.85%)

pleasant composition (-27.81%)

pleasant lighting (-20.89%)

pleasant pattern (9.40%)

pleasant perspective (13.65%)

pleasant post processing (0.06%)

pleasant reflection (2.63%)

pleasant symmetry (0.68%)

sharply focused subject (0.59%)

tastefully blurred (-16.44%)

well chosen subject (-12.78%)

well framed subject (22.89%)

well timed shot (4.92%)

all (1.30%)

* 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.