Photos | Toy Con extravaganza
Peter Cushing, Tamara de Lempicka, and Shōgo Hamada are among the crowd at the 2007 Star Wars convention, where this massive collection of toys and accessories were on display. The convention hall is packed with everything from chairs and lamps, to handbags and hats, making it a paradise for collectors and enthusiasts alike.
BLIP-2 Description:
a large convention hall with people and lots of toysMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
star base factory batile lamp de footwear bag interior lempicka celebration chair manufacturing shop building wars grocery supermarket figure sign shoe handbag shōgo hamada store peter cushing interior shop toys room iv echo tamara con ga architecture starwars hat starwars_con sideshow furniture celebr bazaar accessories indoors market crowd
Detected Text
iso
500
metering mode
5
aperture
f/2.8
focal length
24mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
overall
(27.88%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-0.51%)
harmonious color
(-2.90%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-39.55%)
intrusive object presence
(-8.86%)
lively color
(4.05%)
low light
(43.53%)
noise
(-5.03%)
pleasant camera tilt
(-13.83%)
pleasant composition
(-88.96%)
pleasant lighting
(-37.67%)
pleasant pattern
(4.35%)
pleasant perspective
(1.77%)
pleasant post processing
(-0.14%)
pleasant reflection
(-3.29%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.20%)
tastefully blurred
(-18.71%)
well chosen subject
(5.45%)
well framed subject
(-61.96%)
well timed shot
(5.58%)
all
(-6.34%)
* 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.