Photos | Celebrating Wesley's First Birthday in Style
Our radiant party crew, including Lori S, Mandy B, and other friends, adding a pop of excitement to young Wesley's birthday bash in front of a vibrantly contrasted red frame. The perfect blend of summer warmth, artistry, and shared laughter set against an invigorating backdrop of lush greenery and festive party decor. (Photographed on August 12, 2023)
BLIP-2 Description:
a group of people posing for a photo in front of a red frameMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
planter arrangement couch dress vegetation party portrait glasses palm cap mandy house costume backyard dave footwear birthday grass vase garden porch foliage park shorts jeremiah interior necklace tree t-shirt potted sitting housing chair soil bench jewelry flower table building sign dinoco outdoors shoe sketch nature balloon pottery michaela jar room first dustin b plant oxnard wristwatch yard lori s architecture baseball hat design summer banner wesley furniture sphere etch accessories photography fun indoors patio dining shelter art living room
iso
100
metering mode
5
aperture
f/5
focal length
24mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
overall
(51.46%)
curation
(95.04%)
highlight visibility
(7.95%)
behavioral
(90.79%)
failure
(-0.05%)
harmonious color
(5.92%)
immersiveness
(0.10%)
interaction
(2.00%)
interesting subject
(50.98%)
intrusive object presence
(-21.24%)
lively color
(9.77%)
low light
(6.42%)
noise
(-0.93%)
pleasant camera tilt
(-4.37%)
pleasant composition
(-47.78%)
pleasant lighting
(-22.18%)
pleasant pattern
(5.03%)
pleasant perspective
(21.81%)
pleasant post processing
(-1.84%)
pleasant reflection
(-2.32%)
pleasant symmetry
(1.34%)
sharply focused subject
(1.15%)
tastefully blurred
(-9.41%)
well chosen subject
(-14.01%)
well framed subject
(40.33%)
well timed shot
(21.58%)
all
(3.17%)
* 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.