Photos | A Vibrant Urban Adventure
The joy of childhood beautifully captured in this striking summer scene from 2023. Featured is an entertaining snapshot of three delightful children navigating city life while aboard their trusty red wagon. Their rosy smiles and the conspicuous red ball make this piece not just a photograph, but a ray of sunshine from a lovely summer day. Notice the intricate urban architecture in the background, lending an additional layer of complexity to this charming tableau. Don't miss out on the playfulness of childhood, the heartbeat of City streets, and the charm of an unexpected vehicle of adventure. A true portrait of summer city life in its most endearing form.
BLIP-2 Description:
three children in a red wagon with a red ballMetadata
Capture date:
Original Dimensions:
5472w x 3648h - (download 4k)
Usage
Dominant Color:
urban street portrait child baby transportation shirt outdoor backyard girl footwear grass bag wagon path shorts city carriage sidewalk building shoe handbag outdoors lori nature sony strap boy stroller plant road vehicle yard architecture machine summer wesley furniture accessories photography walking walkway shelter land
iso
100
metering mode
5
aperture
f/2.8
focal length
9mm
shutter speed
1/320s
camera make
SONY
camera model
lens model
overall
(38.82%)
curation
(68.14%)
highlight visibility
(5.74%)
behavioral
(70.66%)
failure
(-0.15%)
harmonious color
(2.80%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-1.56%)
intrusive object presence
(-11.62%)
lively color
(4.36%)
low light
(9.03%)
noise
(-1.78%)
pleasant camera tilt
(-5.53%)
pleasant composition
(-41.87%)
pleasant lighting
(-3.97%)
pleasant pattern
(4.42%)
pleasant perspective
(17.65%)
pleasant post processing
(-0.72%)
pleasant reflection
(-0.25%)
pleasant symmetry
(0.56%)
sharply focused subject
(1.42%)
tastefully blurred
(-12.47%)
well chosen subject
(-12.30%)
well framed subject
(33.06%)
well timed shot
(15.41%)
all
(2.93%)
* 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.