Photos | The World of Baseball

A collage of baseballs and a world map adorn the walls, paying tribute to legendary players Roy Campanella, Don Drysdale, Vic Davalillo, Mel Ott, and more in this artistic display. #Baseball #Sport #Art #Collage
BLIP-2 Description:
a wall with pictures of baseballs and a map of the worldMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
buenos don tom tyler ken baseball vic davalillo maynard campanella astronomy washington hat fort conakry roy tom volleyball outer rio ab collage text space francisco paulo art document roy campanella boston orlando aires poster (ball) mel ball ott seattle angeles sphere los san janeiro sport dc santiago york drysdale tyler houston são advertisement dakar de lauderdal beryl cook
Detected Text
iso
640
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2018-04-20T22:42:41.936000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(26.73%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.18%)
failure
(-0.51%)
harmonious color
(-2.14%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-45.83%)
intrusive object presence
(-5.49%)
lively color
(2.98%)
low light
(6.18%)
noise
(-2.44%)
pleasant camera tilt
(-7.73%)
pleasant composition
(-12.43%)
pleasant lighting
(-13.62%)
pleasant pattern
(27.03%)
pleasant perspective
(6.46%)
pleasant post processing
(-0.08%)
pleasant reflection
(-2.27%)
pleasant symmetry
(3.42%)
sharply focused subject
(1.37%)
tastefully blurred
(-4.07%)
well chosen subject
(-4.41%)
well framed subject
(9.81%)
well timed shot
(-0.15%)
all
(1.59%)
* 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-3.5-turbo-0301
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.