Photos | Summer Bliss in the Blooming Garden
In the heart of a lush garden, a woman shares a tender moment with a child, surrounded by nature's bounty. The vibrant colors and radiant smiles of the pair perfectly encapsulate the warmth and joy of a beautiful summer day.
BLIP-2 Description:
a woman holding a child in a gardenChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
path grass city potted geranium jeans sky baseball outdoor road optical park backyard purple trail boy house cloudy hat vase soil scribe housing walkway shelter villa countryside lori happy plant rural accessories equipment rock planter glasses building hg footwear architecture grassland landscape palm herbal reed handbag shoe cap wesley blouse tree summer bag gardening woodland street pants sunglasses hedge jar pottery field wilderness scenery jacket herbs outdoors urban child garden photography vegetation portrait shrub grove arbour walking yard land flower smile fence nature neighborhood daisy coat
iso
100
metering mode
5
aperture
f/11
exposure bias
0.5
focal length
24mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2023-06-24T13:17:23.522000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(65.58%)
curation
(71.27%)
highlight visibility
(6.13%)
behavioral
(90.94%)
failure
(-0.07%)
harmonious color
(6.86%)
immersiveness
(0.76%)
interaction
(2.00%)
interesting subject
(57.96%)
intrusive object presence
(-3.10%)
lively color
(11.79%)
low light
(0.15%)
noise
(-2.10%)
pleasant camera tilt
(0.65%)
pleasant composition
(26.29%)
pleasant lighting
(25.29%)
pleasant pattern
(2.25%)
pleasant perspective
(9.36%)
pleasant post processing
(-0.13%)
pleasant reflection
(-2.44%)
pleasant symmetry
(0.56%)
sharply focused subject
(9.47%)
tastefully blurred
(-4.65%)
well chosen subject
(-7.48%)
well framed subject
(60.74%)
well timed shot
(11.57%)
all
(13.07%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0314
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.