Photos | Nightlife Smiles
Viktoria Tereshkina and Dave B enjoying the vibrant outdoor atmosphere of a nightclub in their trendy T-shirts and accessories.
BLIP-2 Description:
a man and woman in a nightclub smilingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
summer skin necklace tableware urban portrait beverage outdoors hat dub utensil art dave club alcohol mouth junglescene glasses teeth life nature rekognition_c jewelry tereshkina accessories night earring august tattoo t-shirt lighting part toon photography photobombing smile linei happy cup viktoria simon
Detected Text
date
2002-08-29T15:01:45-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.82%)
curation
(65.67%)
highlight visibility
(5.55%)
behavioral
(70.63%)
failure
(-0.51%)
harmonious color
(-1.91%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(15.19%)
intrusive object presence
(-9.06%)
lively color
(3.71%)
low light
(93.55%)
noise
(-6.81%)
pleasant camera tilt
(-3.02%)
pleasant composition
(-39.82%)
pleasant lighting
(-45.26%)
pleasant pattern
(2.39%)
pleasant perspective
(-10.96%)
pleasant post processing
(-4.04%)
pleasant reflection
(1.10%)
pleasant symmetry
(0.20%)
sharply focused subject
(1.93%)
tastefully blurred
(-4.01%)
well chosen subject
(-9.36%)
well framed subject
(25.59%)
well timed shot
(2.80%)
all
(-4.32%)
* 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.