Photos | Heartwarming Moments in Japan Town
Cherished memories are formed when family comes together. Here we see a beautiful moment captured in Japan Town on December 22, 2023. The vibrant clothing and lively surroundings make for a perfectly composed portrait of two women and a little boy enjoying the day. A heartwarming depiction of love and intergenerational bonding.
BLIP-2 Description:
two women and a child in a strollerChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture bracelet door headgear inco boy pants elevators jeans cap use west building portrait health footwear chemicals child stairs defects section culture disabled area hat luggage streeti wait birth girl gateway container shoe mall japan fire machine rescue coat conta teen skyela cuisine japanese warning sign caul vehicle jewelry cancer reproductive state accessories sweater lori safety skyela b code harm town stroller photography wesley california personnel hospital known case knitwear
Detected Text
iso
2000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2023-12-22T16:23:17.440000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(47.12%)
curation
(71.04%)
highlight visibility
(6.12%)
behavioral
(90.79%)
failure
(-0.12%)
harmonious color
(0.48%)
immersiveness
(0.46%)
interaction
(2.00%)
interesting subject
(10.91%)
intrusive object presence
(-9.86%)
lively color
(1.65%)
low light
(5.79%)
noise
(-0.83%)
pleasant camera tilt
(-5.07%)
pleasant composition
(-39.82%)
pleasant lighting
(-5.15%)
pleasant pattern
(2.71%)
pleasant perspective
(13.79%)
pleasant post processing
(-1.42%)
pleasant reflection
(-0.40%)
pleasant symmetry
(1.27%)
sharply focused subject
(1.86%)
tastefully blurred
(-0.98%)
well chosen subject
(-13.94%)
well framed subject
(35.13%)
well timed shot
(18.14%)
all
(3.29%)
* 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.