Photos | The Bridge Crossing

Our little adventurer, Wesley wandering on a wooden bridge amidst the rich foliage. This snapshot, from our Big Sur Adventure in 2023, perfectly encapsulates the spirit of exploration and childhood whimsy. Notice the array of greenery, the potted plants, and the rustic vibe of the wooden path. It's a stroll down memory path in the perfect marriage between man-made beauty and nature.
BLIP-2 Description:
a young boy walking on a wooden bridgeMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
urban road sweater flower jungle interior photography decorative grass yard beanie jar adventure flooring jacket footwear knitwear lumber big leaf planter portrait hat water nature cap woodland summer soil fence house porch park boardwalk deck path hardwood coat pants rainforest waterfront plywood land flagstone sidewalk floor trail plant architecture child design herbs jeans shorts indoors garden housing railing foliage street outdoor tree arbour staircase conifer pottery building handrail baseball city patio grove wesley bridge potted wood shoe slate vegetation sur walking boy walkway backyard herbal sweatshirt hoodie outdoors vase
iso
6400
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(57.42%)
curation
(65.00%)
highlight visibility
(3.82%)
behavioral
(70.66%)
failure
(-0.27%)
harmonious color
(7.14%)
immersiveness
(17.80%)
interaction
(1.00%)
interesting subject
(18.81%)
intrusive object presence
(-5.32%)
lively color
(5.70%)
low light
(1.51%)
noise
(-1.05%)
pleasant camera tilt
(-3.37%)
pleasant composition
(13.53%)
pleasant lighting
(17.36%)
pleasant pattern
(10.23%)
pleasant perspective
(30.03%)
pleasant post processing
(3.81%)
pleasant reflection
(-2.08%)
pleasant symmetry
(7.32%)
sharply focused subject
(4.20%)
tastefully blurred
(13.65%)
well chosen subject
(6.39%)
well framed subject
(24.23%)
well timed shot
(11.59%)
all
(14.27%)
* WARNING: The title and caption of this image were generated with AI (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.