Photos | Woman in Formal Wear Addressing Crowd
Travis B captured this striking photo of a woman in a black dress and jacket, confidently addressing a crowd while wearing elegant accessories, including a tie and glasses. This event, held on November 30th, 2002 at a Bassrush club, was one to remember.
BLIP-2 Description:
a woman in a black dress and black jacket standing in front of a crowdChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
kissing lighting jacket couch urban furniture dress dave wear device jeans blouse tie part shoe fashion old formal accessories bag shirt photography jewelry pants sunglasses night glasses footwear club romantic portrait suit junglescene cup electrical handbag vest blazer bracelet travis b bassrush hat scarf microphone coat
Detected Text
date
2002-12-01T14:00:09-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(16.63%)
curation
(67.99%)
highlight visibility
(5.73%)
behavioral
(70.58%)
failure
(-1.61%)
harmonious color
(-1.03%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-52.20%)
intrusive object presence
(-10.82%)
lively color
(-14.67%)
low light
(83.20%)
noise
(-17.90%)
pleasant camera tilt
(-9.19%)
pleasant composition
(-58.59%)
pleasant lighting
(-47.71%)
pleasant pattern
(2.42%)
pleasant perspective
(-20.06%)
pleasant post processing
(2.43%)
pleasant reflection
(-0.27%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.34%)
tastefully blurred
(-8.49%)
well chosen subject
(-23.44%)
well framed subject
(-40.48%)
well timed shot
(-8.78%)
all
(-10.40%)
* 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.