Photos | Backyard Hangout
Wolfgang Bientzle and Smythen J enjoying the summer weather while sharing a beer in the backyard.
BLIP-2 Description:
a man and woman standing outside with a man holding a beerMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
wolfgang bientzle lamp phone vegetation wood jeans glasses portrait animal shirt barefoot house backyard mobile window teen foliage shorts necklace tree t-shirt potted housing chair soil city jewelry building junglescene villa electronics outdoors glove nature boy bday racket pants plant wristwatch yard architecture baseball hat sunglasses text sport summer smythen part furniture patio accessories photography shelter cap zoo
Detected Text
overall
(7.79%)
curation
(65.50%)
highlight visibility
(2.45%)
behavioral
(70.58%)
failure
(-2.15%)
harmonious color
(-2.86%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-51.07%)
intrusive object presence
(-91.16%)
lively color
(-2.48%)
low light
(28.78%)
noise
(-7.01%)
pleasant camera tilt
(-11.69%)
pleasant composition
(-75.05%)
pleasant lighting
(-47.19%)
pleasant pattern
(9.47%)
pleasant perspective
(-16.70%)
pleasant post processing
(-1.41%)
pleasant reflection
(0.51%)
pleasant symmetry
(0.83%)
sharply focused subject
(0.27%)
tastefully blurred
(-28.61%)
well chosen subject
(-30.35%)
well framed subject
(-41.75%)
well timed shot
(-15.10%)
all
(-12.30%)
* 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.