Dave Bullock / eecue

PhotographerEngineerMusicianNerd

Photos | Nightclub Vibes

Nightclub Vibes

Caption

Two men in different colored shirts enjoy the music and company of six other people in an urban nightclub complete with lighting, electronics, and speakers. One man sports a baseball cap while the other accessorizes with two necklaces. The crowd includes individuals with handbags and headphones, while a microphone and other electrical devices are visible in the background. (Photo taken in September 2002)

BLIP-2 Description:

a man in a white shirt and a man in a red shirt

Chronologically Adjacent

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

Metadata

Capture date:

Original Dimensions:

640w x 480h - (download 4k)

Usage

Dominant Color:

Bruised Plum

Detected Text

com  junglescene  

EXIF Data:

date
2002-09-01T14:54:10-07:00
tzoffset
-25200
tzname
America/Los_Angeles

Scores

overall (3.21%)
curation (65.40%)
highlight visibility (2.45%)
behavioral (70.54%)
failure (-3.44%)
harmonious color (-1.52%)
immersiveness (0.12%)
interaction (1.00%)
interesting subject (-60.01%)
intrusive object presence (-23.14%)
lively color (-16.76%)
low light (99.66%)
noise (-18.36%)
pleasant camera tilt (-14.00%)
pleasant composition (-74.71%)
pleasant lighting (-81.54%)
pleasant pattern (5.10%)
pleasant perspective (-23.18%)
pleasant post processing (3.34%)
pleasant reflection (-3.48%)
pleasant symmetry (0.07%)
sharply focused subject (0.02%)
tastefully blurred (-26.10%)
well chosen subject (-30.76%)
well framed subject (-61.62%)
well timed shot (-22.83%)
all (-17.60%)
* 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.