Photos | Walking Through History
A woman strolls down the path of a traditional Japanese temple in Kyoto, surrounded by lush foliage and ancient architecture. The perfect mix of urban and natural beauty.
BLIP-2 Description:
a woman walking down a path in a japanese templeMetadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
Location:
urban cottage street slate countryside vegetation jeans temples portrait animal outdoor house wall trip roof girl arbour grass herbs garden teen path leisure monastery foliage jacket activities kyoto tree fence jungle potted woodland housing city flagstone building villa outdoors trail nature coat alley knitwear adventure kamihonnojimaecho japan hiking pants kyoto_temples plant rock rainforest grove herbal nakagyo road moss architecture sweater photography walking walkway shelter zoo land
iso
60
metering mode
5
aperture
f/2.9
focal length
6mm
shutter speed
1/50s
camera make
OLYMPUS OPTICAL CO.,LTD
camera model
overall
(45.17%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.70%)
failure
(-0.81%)
harmonious color
(2.64%)
immersiveness
(3.47%)
interaction
(1.00%)
interesting subject
(-13.35%)
intrusive object presence
(-7.62%)
lively color
(0.44%)
low light
(7.42%)
noise
(-6.59%)
pleasant camera tilt
(-3.70%)
pleasant composition
(-26.07%)
pleasant lighting
(-9.53%)
pleasant pattern
(6.64%)
pleasant perspective
(3.23%)
pleasant post processing
(8.54%)
pleasant reflection
(-0.51%)
pleasant symmetry
(0.95%)
sharply focused subject
(1.32%)
tastefully blurred
(-6.12%)
well chosen subject
(-20.92%)
well framed subject
(19.38%)
well timed shot
(4.71%)
all
(2.63%)
* 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.