Photos | Stone Statues in a Forest
A group of stone statues in a forest in Kyoto, featuring work by artists like Fernand Léger, Johannes Scotus Eriugena, Beryl Cook, and Tom Mandrake. These landmarks symbolize the rich cultural history of Japan's ancient temples.
BLIP-2 Description:
a large group of stone statues in a forestMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
iso
60
metering mode
5
aperture
f/2.9
focal length
6mm
shutter speed
1/40s
camera make
OLYMPUS OPTICAL CO.,LTD
camera model
overall
(23.82%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-2.69%)
harmonious color
(-0.67%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(-49.17%)
intrusive object presence
(-3.54%)
lively color
(-20.96%)
low light
(2.39%)
noise
(-12.18%)
pleasant camera tilt
(-6.16%)
pleasant composition
(-34.35%)
pleasant lighting
(-37.72%)
pleasant pattern
(14.50%)
pleasant perspective
(3.77%)
pleasant post processing
(-4.72%)
pleasant reflection
(-2.54%)
pleasant symmetry
(0.49%)
sharply focused subject
(2.29%)
tastefully blurred
(-22.16%)
well chosen subject
(-4.93%)
well framed subject
(-13.71%)
well timed shot
(-2.77%)
all
(-4.74%)
* 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.