Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Glowing Gaze

Glowing Gaze

Caption

Two figures sit in the dim lighting, their eyes illuminating the darkness.

BLIP-2 Description:

two people are sitting in the dark with glowing eyes

Chronologically Adjacent

Previous chronologically

Next chronologically

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

Metadata

Capture date:

Monday, July 8th, 2013 at 8th:41:17 PM

Original Dimensions:

3264w x 2448h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

Long Beach, California, United States (33.77,-118.11)

Tags

club firefly darkness invertebrate lighting rekognition_c electronics animal silhouette stream light insect night

Albums

Places

Continental United States Gateway Cities Greater Los Angeles Area International Border States (Southwest) Los Angeles County Southern California Southwest Tech Coast

Venues

EXIF Data:

iso

3200

metering mode

5

aperture

f/2.4

focal length

4mm

latitude

33.77

longitude

-118.11

shutter speed

1/15s

camera make

Apple

camera model

lens model

iPhone 5 back camera 33mm f/2.4

date

2013-07-08T20:41:17-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

curation (50.00%)

highlight visibility (2.45%)

behavioral (70.49%)

failure (-27.03%)

harmonious color (-1.41%)

immersiveness (0.15%)

interaction (1.00%)

interesting subject (-70.02%)

intrusive object presence (-5.54%)

lively color (-26.32%)

low light (99.90%)

noise (-45.02%)

pleasant camera tilt (-9.23%)

pleasant composition (-77.78%)

pleasant lighting (-81.30%)

pleasant pattern (3.49%)

pleasant perspective (-19.31%)

pleasant post processing (-9.14%)

pleasant reflection (-1.75%)

pleasant symmetry (0.32%)

sharply focused subject (0.07%)

tastefully blurred (-61.38%)

well chosen subject (-14.64%)

well framed subject (-58.84%)

well timed shot (-13.46%)

all (-17.73%)

* 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.