Photos | A Memorable Hike to the Enchanting Waterfall
Hae-Jin Lee and Dave B pose with their friends and pets during a thrilling adventure amid lush vegetation, rocks, and refreshing water at the foot of a waterfall on October 14, 2007, in UE Xfrmers Tmp.
BLIP-2 Description:
a group of people posing for a photo in front of a waterfallChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
ue activities jeans boy pants trunk rock plant hiking leisure wilderness footwear environment ue_xfrmers_tmp rocks outdoors hat gravel tmp tree road outdoor pet shoe bag land xfrmers forest jungle dog glove fun grove dave glasses picnic teen shorts nature canine backpack hae-jin lee accessories adventure woodland handbag walking natural mammal animal crowd vegetation
iso
100
metering mode
5
aperture
f/8
focal length
25mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2007-10-14T10:48:57-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.58%)
curation
(66.01%)
highlight visibility
(5.58%)
behavioral
(70.60%)
failure
(-0.27%)
harmonious color
(2.20%)
immersiveness
(0.81%)
interaction
(1.00%)
interesting subject
(34.40%)
intrusive object presence
(-4.27%)
lively color
(0.51%)
low light
(4.08%)
noise
(-2.81%)
pleasant camera tilt
(-0.21%)
pleasant composition
(-41.14%)
pleasant lighting
(-21.26%)
pleasant pattern
(2.22%)
pleasant perspective
(-1.07%)
pleasant post processing
(0.18%)
pleasant reflection
(2.61%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.54%)
tastefully blurred
(-8.59%)
well chosen subject
(-1.51%)
well framed subject
(-9.69%)
well timed shot
(13.96%)
all
(1.04%)
* 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.