Photos | Bright Spot in the Conference: A Glimpse of Retro
Pictured here at the 2023 Robobusiness Conference & Expo, Wu Jingbiao stands out with a vibrant yellow toy car. Amidst an array of modern electronics, machines and robots, the simplicity of this toy vehicle reminds us of the playful nostalgia attached to the classic diecast cars. Reflecting his sense of humor, the whimsical contrast is indeed a human touch midst a tech-saturated event.
BLIP-2 Description:
a yellow toy carMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
wheel flooring glasses exit transportation & conference robobusiness mower footwear bag grass hardhat teen expo floor wu jingbiao chair atv device hardware lawn lighting electronics shoe handbag airport boy robot helmet pants plant wristwatch screen vehicle machine speaker hat tool furniture accessories monitor computer
Detected Text
iso
8000
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
overall
(45.17%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.17%)
harmonious color
(4.34%)
immersiveness
(1.27%)
interaction
(1.00%)
interesting subject
(-22.08%)
intrusive object presence
(-3.78%)
lively color
(-3.70%)
low light
(11.11%)
noise
(-1.32%)
pleasant camera tilt
(-6.00%)
pleasant composition
(-34.45%)
pleasant lighting
(4.22%)
pleasant pattern
(4.76%)
pleasant perspective
(4.14%)
pleasant post processing
(-1.75%)
pleasant reflection
(-0.49%)
pleasant symmetry
(0.51%)
sharply focused subject
(2.12%)
tastefully blurred
(-3.36%)
well chosen subject
(-41.99%)
well framed subject
(-10.39%)
well timed shot
(3.57%)
all
(1.40%)
* 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-4-0613
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.