Photos | In the Mix
Gonzalo Pérez de Vargas and a female companion pose in front of the DJ table, surrounded by speakers and electronic equipment, at a music performance on October 11, 2002.
BLIP-2 Description:
a man and woman standing in front of a dj tableMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
cord rekognition_c jeff recreation fall jeans bracelet music old de footwear appliance bag vargas respect deejay necklace entertainer tripod nd jewelry device pérez junglescene sign electronics shoe handbag access october vibe microphone amplifier demand gonzalo fan wristwatch performance stereo machine speaker hat thes banner speakers accessories electric electrical
overall
(15.75%)
curation
(67.50%)
highlight visibility
(5.69%)
behavioral
(70.54%)
failure
(-0.66%)
harmonious color
(-1.12%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-62.74%)
intrusive object presence
(-14.21%)
lively color
(0.04%)
low light
(68.26%)
noise
(-15.75%)
pleasant camera tilt
(-13.55%)
pleasant composition
(-83.54%)
pleasant lighting
(-44.97%)
pleasant pattern
(6.67%)
pleasant perspective
(-13.33%)
pleasant post processing
(5.29%)
pleasant reflection
(-4.34%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.17%)
tastefully blurred
(-8.54%)
well chosen subject
(-34.96%)
well framed subject
(-54.30%)
well timed shot
(-9.41%)
all
(-11.19%)
* 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.