Photos | Group Photo with a Classic Car

Clotilde Hesme, Lori H, Bruce K, and Alan W strike a pose in front of a vintage automobile on a night out in the city.
BLIP-2 Description:
a group of people posing for a picture in front of a carMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
lori h bracelet jeans headgear pants urban baseball portrait chair cap outdoors transportation hat furniture jacket road k bag city bruce thrift limo street scarf sture machine shirt coat junglescene life bus nature rekognition_c car vehicle jewelry respect accessories night clotilde automobile photography handbag hesme
Detected Text
date
2002-08-29T13:27:56-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(39.45%)
curation
(68.13%)
highlight visibility
(5.89%)
behavioral
(90.77%)
failure
(-0.29%)
harmonious color
(1.49%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(38.28%)
intrusive object presence
(-10.72%)
lively color
(-6.72%)
low light
(97.71%)
noise
(-3.91%)
pleasant camera tilt
(-7.10%)
pleasant composition
(-47.71%)
pleasant lighting
(-49.00%)
pleasant pattern
(4.00%)
pleasant perspective
(1.01%)
pleasant post processing
(0.93%)
pleasant reflection
(3.05%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.71%)
tastefully blurred
(-4.28%)
well chosen subject
(-39.84%)
well framed subject
(11.85%)
well timed shot
(4.03%)
all
(-4.87%)
* 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.