Photos | Tech Talk Takes over LA: Tekin Kurtuluş Rocks the Crowd

A packed audience of 33 people came together for Tekin Kurtuluş' high-energy performance on the latest consumer electronics at a downtown LA auditorium.
BLIP-2 Description:
a large crowd of people in a large roomMetadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Location:
machine room speaker harlem urban tekin kurtuluş theater apple continental united states consumer baby recreation jewelry district lecture los historic downtown indoors performance auditorium workshop states night iphone november footwear building architecture crowd club concert audience classroom manufacturing ♪ interior fall angeles life historic core united california school hall factory core pl ca entertainment electronics shoe
iso
500
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.25
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2014-11-28T00:16:04.217000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(18.09%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-1.42%)
harmonious color
(-3.46%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-36.38%)
intrusive object presence
(-11.67%)
lively color
(-15.77%)
low light
(1.68%)
noise
(-8.67%)
pleasant camera tilt
(-17.43%)
pleasant composition
(-74.17%)
pleasant lighting
(-56.64%)
pleasant pattern
(6.01%)
pleasant perspective
(-7.03%)
pleasant post processing
(-1.83%)
pleasant reflection
(-7.33%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.15%)
tastefully blurred
(-35.28%)
well chosen subject
(-12.48%)
well framed subject
(-49.90%)
well timed shot
(-1.22%)
all
(-11.11%)
* 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.