Photos | River Walk Adventure with Birendra of Nepal
Birendra and six others explore the lush jungle scenery and pristine waterways of Felton, California, as they leisurely walk through the refreshing river.
BLIP-2 Description:
a group of people walking in a riverMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
vegetation canine pond animal scenery watercourse transportation river outdoor water portrait swimming fir bag grass path green sky stream lifejacket park shorts environment tree jungle woodland shore sports mammal canoeing leisure activities vest lake glove outdoors handbag natural trail nature bayou pet adventure hiking grove plant rainforest bank rock waterways canoe landscape birendra of nepal vehicle blue hat sport creek summer rowboat fishing accessories photography walking wilderness boat dog land
iso
20
metering mode
5
aperture
f/2.2
focal length
8mm
latitude
37.04
longitude
-122.06
shutter speed
1/297s
camera make
Apple
camera model
overall
(39.77%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-1.59%)
harmonious color
(0.55%)
immersiveness
(4.49%)
interaction
(1.00%)
interesting subject
(-22.09%)
intrusive object presence
(-9.74%)
lively color
(0.01%)
low light
(0.66%)
noise
(-4.13%)
pleasant camera tilt
(-3.58%)
pleasant composition
(-6.30%)
pleasant lighting
(-17.26%)
pleasant pattern
(1.73%)
pleasant perspective
(16.25%)
pleasant post processing
(-3.79%)
pleasant reflection
(2.60%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.56%)
tastefully blurred
(-19.59%)
well chosen subject
(-0.43%)
well framed subject
(-6.57%)
well timed shot
(1.40%)
all
(3.30%)
* 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.
* 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.