Photos | Walking through Kyoto's Temple Pathway
Two women explore the lush foliage and architecture of Kyoto's temples, carrying backpacks and purses as they walk down the path.
BLIP-2 Description:
two women walking down a pathChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
Location:
urban backpack street slate dress vegetation jeans temples purse portrait outdoor house backyard trip roof hoodie bag arbour leisure garden path monastery foliage jacket activities kyoto tree fence container housing city sweatshirt fashion flagstone building villa outdoors handbag rocks nature coat alley neighborhood knitwear adventure kamihonnojimaecho japan hiking pants kyoto_temples plant nakagyo road yard architecture sweater accessories photography walking walkway shelter luggage 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
(35.21%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-1.05%)
harmonious color
(-2.23%)
immersiveness
(0.81%)
interaction
(1.00%)
interesting subject
(-19.08%)
intrusive object presence
(-6.32%)
lively color
(10.89%)
low light
(11.08%)
noise
(-4.47%)
pleasant camera tilt
(-2.85%)
pleasant composition
(-30.93%)
pleasant lighting
(-8.95%)
pleasant pattern
(5.08%)
pleasant perspective
(-0.08%)
pleasant post processing
(-0.30%)
pleasant reflection
(0.54%)
pleasant symmetry
(0.49%)
sharply focused subject
(3.00%)
tastefully blurred
(-8.65%)
well chosen subject
(-21.09%)
well framed subject
(36.67%)
well timed shot
(0.45%)
all
(0.34%)
* 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.