Photos | The Yellow and Black Robot Takes Center Stage at UE Xfrmers Exhibit

Mao Xinyu, Motonobu Tanishige, and Nadia Hai admire the impressive display of the large yellow and black robot at the 2007 UE Xfrmers exhibit, surrounded by a variety of art, plants, and accessories.
BLIP-2 Description:
a large yellow and black robot is on displayMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
walkway path city urban furniture xinyu car vehicle plant tree shopping transportation robot wristwatch bag accessories insect shirt motonobu tanishige apidae xfrmers jewelry animal ue chair pants mao glasses footwear invertebrate shop nadia ue_xfrmers_tmp palm hai mall handbag walking tmp rekognition_c bee hat art italiana necklace shoe
Detected Text
iso
100
metering mode
5
aperture
f/9
exposure bias
2
focal length
25mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
date
2007-10-16T14:14:01-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.99%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.77%)
failure
(-0.46%)
harmonious color
(3.77%)
immersiveness
(2.76%)
interaction
(1.00%)
interesting subject
(-21.30%)
intrusive object presence
(-7.01%)
lively color
(-0.77%)
low light
(1.59%)
noise
(-3.59%)
pleasant camera tilt
(-5.91%)
pleasant composition
(-73.58%)
pleasant lighting
(-41.94%)
pleasant pattern
(10.89%)
pleasant perspective
(1.74%)
pleasant post processing
(4.34%)
pleasant reflection
(-3.79%)
pleasant symmetry
(1.42%)
sharply focused subject
(0.37%)
tastefully blurred
(-11.38%)
well chosen subject
(-7.79%)
well framed subject
(-54.25%)
well timed shot
(2.38%)
all
(-4.06%)
* 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.