Photos | A Joyful Celebration of New Life

Fedez and his friends warmly welcomed this beautiful tiny miracle as they gathered outdoors at a Cam Grad Party. Surrounded by vibrant balloons, potted plants, and chic urban architecture, the group embodied pure happiness and love for their newest member.
BLIP-2 Description:
a man and woman are standing in front of a babyMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture necklace pants urban plant building baseball portrait flower flower bouquet sweater baby cap arrangement outdoors hat sidewalk walkway tree girl road outdoor balloon shelter party city street art fedez shirt coat glasses teen path cameron alley jewelry cam accessories blouse beard knitwear potted photography dress happy smile grad vegetation
iso
100
metering mode
5
aperture
f/5.6
focal length
24mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2023-06-10T15:45:50.744000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.75%)
curation
(68.10%)
highlight visibility
(5.74%)
behavioral
(70.59%)
failure
(-0.20%)
harmonious color
(0.45%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-22.45%)
intrusive object presence
(-15.58%)
lively color
(9.34%)
low light
(14.11%)
noise
(-1.15%)
pleasant camera tilt
(-5.94%)
pleasant composition
(-71.00%)
pleasant lighting
(-9.74%)
pleasant pattern
(2.78%)
pleasant perspective
(1.66%)
pleasant post processing
(1.78%)
pleasant reflection
(-2.81%)
pleasant symmetry
(0.63%)
sharply focused subject
(1.76%)
tastefully blurred
(-13.38%)
well chosen subject
(-42.09%)
well framed subject
(-3.22%)
well timed shot
(-0.42%)
all
(-3.14%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.