Photos | Parking Lot Gathering
![Parking Lot Gathering](https://eecue.com/img/640/3cd9151de8.jpg)
Actor Justin Chu Cary is amongst the crowd of people gathered in a cloudy parking lot, with vehicles and a machine in the background. Jeans, backpacks, and handbags are prevalent in the clothing choices of those present.
BLIP-2 Description:
people are standing around in a parking lotMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
advertisement urban backpack november fall jeans glasses animal transportation xs outdoor de trip bird footwear justin chu cary bag hardhat path ig amerier sky pedestrian empend city truck flagstone car sidewalk iphone heel bicycle intersection shoe handbag monte cloudy back neighborhood ruiz max helmet empeno pants wristwatch road vehicle high machine vidrieria hat part bus lomas travel accessories walkway apple crowd casa
iso
25
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/5128s
camera make
Apple
camera model
lens model
overall
(29.81%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.76%)
failure
(-0.44%)
harmonious color
(1.45%)
immersiveness
(1.05%)
interaction
(2.00%)
interesting subject
(-43.90%)
intrusive object presence
(-13.77%)
lively color
(0.97%)
low light
(0.83%)
noise
(-5.47%)
pleasant camera tilt
(-6.20%)
pleasant composition
(-73.93%)
pleasant lighting
(-15.44%)
pleasant pattern
(9.89%)
pleasant perspective
(7.65%)
pleasant post processing
(-1.82%)
pleasant reflection
(-0.28%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.12%)
tastefully blurred
(-6.23%)
well chosen subject
(-26.78%)
well framed subject
(-64.55%)
well timed shot
(4.87%)
all
(-3.53%)
* 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.