Photos | Fun in the River
Feng Bin and his child enjoy a playful summer afternoon in the Yosemite National Park river.
BLIP-2 Description:
a man and a child playing in the waterChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
canoe summer activities fishing swamp feng bin rock plant soil hiking wilderness portrait beach leisure footwear cap rocks outdoors transportation hat gravel rainforest pond tree sea creek road outdoor pet boat bag shoe stream land bird jungle dog sun scenery grove water shorts shore path river nature canine lifejacket lake vehicle grass sport rowboat accessories adventure woodland vest algae coast sports canoeing shoreline photography mammal animal waterways handbag vegetation
iso
32
metering mode
5
aperture
f/1.6
focal length
5mm
latitude
37.73
longitude
-119.63
shutter speed
1/1689s
camera make
Apple
camera model
date
2021-06-19T13:52:00.142000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(42.14%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.37%)
failure
(-0.71%)
harmonious color
(4.68%)
immersiveness
(1.68%)
interaction
(6.00%)
interesting subject
(-2.04%)
intrusive object presence
(-6.37%)
lively color
(-6.92%)
low light
(1.73%)
noise
(-10.13%)
pleasant camera tilt
(-7.75%)
pleasant composition
(-15.87%)
pleasant lighting
(18.55%)
pleasant pattern
(2.88%)
pleasant perspective
(8.10%)
pleasant post processing
(3.06%)
pleasant reflection
(-1.17%)
pleasant symmetry
(0.44%)
sharply focused subject
(1.39%)
tastefully blurred
(-9.20%)
well chosen subject
(-8.20%)
well framed subject
(3.84%)
well timed shot
(8.78%)
all
(5.69%)
* 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.