Photos | New Year's Eve Selfie In The City
Sabrina Cereseto and Dave B snap a quick selfie in front of a towering building while out exploring the city on New Year's Eve 2001.
BLIP-2 Description:
a man and woman taking a selfie in front of a buildingMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
urban street glasses portrait shirt new outdoor house dave lori h sabrina cereseto mall jacket earring tree equipment optical housing chair city potted jewelry shop building junglescene villa lighting outdoors years coat alley plant metropolis selfie road architecture sunglasses eve furniture accessories photography shopping shelter crowd
Detected Text
overall
(22.92%)
curation
(68.31%)
highlight visibility
(5.75%)
behavioral
(70.63%)
failure
(-0.49%)
harmonious color
(-2.62%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-43.70%)
intrusive object presence
(-10.52%)
lively color
(-15.67%)
low light
(7.54%)
noise
(-9.13%)
pleasant camera tilt
(-9.00%)
pleasant composition
(-78.32%)
pleasant lighting
(-54.35%)
pleasant pattern
(1.98%)
pleasant perspective
(-12.57%)
pleasant post processing
(-0.19%)
pleasant reflection
(-4.64%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.51%)
tastefully blurred
(-10.67%)
well chosen subject
(-33.13%)
well framed subject
(-17.90%)
well timed shot
(-8.23%)
all
(-12.25%)
* 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.