Photos | Fatherhood on the El Sereno Sidewalks

On a chilly December evening, Martin M is caught in a joyous moment, holding baby Wesley on a busy El Sereno sidewalk. The city lights highlight their expressions as they navigate the urban landscape, imprinting a link between generations amidst the hum of vehicles and under the sheltering foliage. The photograph portrays happiness wrapped in coats under the celestial blanket of the night, bringing warmth to the urban cold.
BLIP-2 Description:
a man holding a child on the sidewalk at nightMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture birds jeans pants spoke neighborhood urban plant building fence portrait overcoat footwear sweater baby ring outdoors transportation sidewalk walkway tree road outdoor jacket sedan shelter city shoe license foliage land suv street sereno machine coat tire path nature wheel car vehicle jewelry vegetation accessories martin night walking alloy lighting el plate automobile laughing photography smile happy wesley car wheel knitwear
iso
51200
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2023-12-02T19:44:50.930000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(49.76%)
curation
(70.94%)
highlight visibility
(6.11%)
behavioral
(90.73%)
failure
(-0.34%)
harmonious color
(-0.55%)
immersiveness
(0.17%)
interaction
(6.00%)
interesting subject
(64.79%)
intrusive object presence
(-7.25%)
lively color
(-23.18%)
low light
(86.57%)
noise
(-7.91%)
pleasant camera tilt
(-0.33%)
pleasant composition
(-16.02%)
pleasant lighting
(-31.03%)
pleasant pattern
(5.81%)
pleasant perspective
(12.40%)
pleasant post processing
(-0.62%)
pleasant reflection
(-4.32%)
pleasant symmetry
(1.20%)
sharply focused subject
(4.47%)
tastefully blurred
(-0.06%)
well chosen subject
(-33.62%)
well framed subject
(71.78%)
well timed shot
(27.29%)
all
(1.61%)
* 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.