Photos | Waiting at the Hollywood Hotel
A line of 35 people, including Brandon Hardesty and Chris Pirillo, patiently await entrance to the iconic Hollywood Hotel on Election Day 2008 in the bustling city streets. The crowd is surrounded by three flashy cars, two traffic lights, and the vivid cityscape.
BLIP-2 Description:
a line of people waiting to get into the hollywood hotelMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
urban wheel storefront street plate transportation outdoor footwear window bag tire path election international st pedestrian city sports automobile car liv sidewalk building license traffic light sign intersection shoe handbag tarmac coupe chris hotel election_day hayward neighborhood day alloy spring plant gallery spoke metropolis road vehicle pirillo symbol architecture machine crack hat brandon hardesty light accessories walking crowd land
iso
400
metering mode
5
aperture
f/5.6
focal length
30mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
overall
(30.93%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-0.37%)
harmonious color
(-1.68%)
immersiveness
(0.90%)
interaction
(1.00%)
interesting subject
(-71.24%)
intrusive object presence
(-5.00%)
lively color
(-0.84%)
low light
(3.39%)
noise
(-3.05%)
pleasant camera tilt
(-8.72%)
pleasant composition
(-65.92%)
pleasant lighting
(-5.73%)
pleasant pattern
(9.16%)
pleasant perspective
(0.83%)
pleasant post processing
(1.43%)
pleasant reflection
(-5.92%)
pleasant symmetry
(1.05%)
sharply focused subject
(0.46%)
tastefully blurred
(-4.85%)
well chosen subject
(-1.87%)
well framed subject
(-52.05%)
well timed shot
(-2.97%)
all
(-2.75%)
* 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.