Photos | A Stroll on the Wooden Bridge
Captured on a perfect summer's day, our young Wesley embarks on an adventure across a rustic wooden bridge. His curiosity and innocence echoed by the enchanting outdoor surroundings. This photograph capturing a moment of simple childhood joys was taken during our 2023 Pumpkin Patch visit with the Metzgars.
BLIP-2 Description:
a young boy walking across a wooden bridgeMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
pants photography grass handrail house animal railing city sea path bridge building rural staircase basketball portrait handbag water sunglasses wesley scenery porch outdoor plywood accessories backyard shoreline outdoors container summer child urban soil hat vegetation architecture baseball pumpkin wood coast fence waterfront play ball footwear boardwalk rekognition_c potted plant sun metzgars yard dress sport furniture road walkway shorts nature shelter boy housing tree patch (ball) bag shoe deck area beach hut walking street sky countryside cap bench park
iso
100
metering mode
5
aperture
f/5.6
focal length
24mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2023-10-15T14:04:57.920000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.88%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.61%)
failure
(-0.29%)
harmonious color
(1.78%)
immersiveness
(1.90%)
interaction
(1.00%)
interesting subject
(2.33%)
intrusive object presence
(-9.28%)
lively color
(0.86%)
low light
(2.64%)
noise
(-1.56%)
pleasant camera tilt
(-3.93%)
pleasant composition
(-23.11%)
pleasant lighting
(4.02%)
pleasant pattern
(19.09%)
pleasant perspective
(12.83%)
pleasant post processing
(1.40%)
pleasant reflection
(2.34%)
pleasant symmetry
(1.20%)
sharply focused subject
(1.93%)
tastefully blurred
(6.50%)
well chosen subject
(-36.40%)
well framed subject
(20.28%)
well timed shot
(6.61%)
all
(4.41%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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.