Photos | Celebrating Together: Cam Grad Party 2023
A joyful moment shared by friends and family, gathered in front of a creative banner to commemorate the Cam Grad Party of 2023. With smiles all around, everyone's styles and personalities shine through – from stylish accessories to fun festival attire. Even special guest Donald Glover joins in on the celebration!
BLIP-2 Description:
a group of people posing for a photo in front of a bannerMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
arrangement marissa dress jeans party portrait glasses festival shirt cap mandy skirt formal footwear bag grass jeremiah laughing crowd necklace chair jewelry rose happy flower sign shoe handbag luna lori grad balloon coat kimmie umbrella flower bouquet dave b pants plant wristwatch cameron cam hat blouse utensil wear banner fun furniture accessories photography donald glover art
iso
160
metering mode
5
aperture
f/7.1
focal length
24mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
overall
(55.22%)
curation
(97.93%)
highlight visibility
(8.17%)
behavioral
(90.71%)
failure
(-0.05%)
harmonious color
(2.69%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(66.80%)
intrusive object presence
(-22.27%)
lively color
(3.38%)
low light
(4.98%)
noise
(-1.37%)
pleasant camera tilt
(-0.82%)
pleasant composition
(-43.48%)
pleasant lighting
(-2.54%)
pleasant pattern
(4.96%)
pleasant perspective
(21.02%)
pleasant post processing
(3.28%)
pleasant reflection
(2.87%)
pleasant symmetry
(1.17%)
sharply focused subject
(1.17%)
tastefully blurred
(-3.13%)
well chosen subject
(-10.74%)
well framed subject
(20.72%)
well timed shot
(31.08%)
all
(6.52%)
* 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.