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:
tyler dakar conakry ott boston houston washington vic davalillo seattle ken beryl cook poster tom tyler de space los astronomy ab baseball roy campanella dc santiago sport mel roy don orlando são san sphere rio outer collage text tom ball francisco drysdale angeles paulo york janeiro maynard aires buenos advertisement volleyball fort art hat (ball) campanella lauderdal document
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.