Photos | Sarah Jezebel Deva in a Nightclub

Sarah Jezebel Deva poses for a portrait in front of a group of people, showcasing her edgy clothing and casual denim jeans.
BLIP-2 Description:
a woman standing in front of a group of peopleMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
bracelet door jeans pants cat urban sessions baseball portrait footwear cap beverage wristwatch hat romantic furniture pet design shoe progression old club alcohol junglescene indoors interior jewelry photos/progression_sessions skirt sarah jezebel deva table accessories night lighting kissing photography mammal animal undershirt
Detected Text
date
2002-09-19T12:07:18-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.00%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.57%)
failure
(-0.49%)
harmonious color
(-0.48%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-30.30%)
intrusive object presence
(-10.77%)
lively color
(-9.99%)
low light
(83.30%)
noise
(-33.64%)
pleasant camera tilt
(-11.19%)
pleasant composition
(-55.76%)
pleasant lighting
(-39.23%)
pleasant pattern
(3.34%)
pleasant perspective
(-7.37%)
pleasant post processing
(0.48%)
pleasant reflection
(1.34%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.76%)
tastefully blurred
(-2.99%)
well chosen subject
(-23.45%)
well framed subject
(5.48%)
well timed shot
(4.14%)
all
(-6.02%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.