Photos | Sebastian Ingrosso and Steve Angello enjoying a break under a dog-themed tent at Coachella 2012
The DJs take a moment to relax and hang out under a tent adorned with a poster of a dog while surrounded by festival-goers and electronic devices.
BLIP-2 Description:
people sitting at a table under a tent with a poster of a dogMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
weekend advertisement pc ii night pas music animal computer greyhound new restaurant house projection poster footwear emmitment bag coachella mafia tv eos ocktails horse canon chair interior design mammal fashion perfected hardware sign electronics shoe handbag april swedish angello coat mark absolut cochtails spring pants sebastian ingrosso drink screen cup wristwatch speaker vodka hat saturday steve furniture audience accessories monitor indoors laptop crowd
Detected Text
iso
200
metering mode
5
aperture
f/4
focal length
16mm
shutter speed
1/8s
camera make
Canon
camera model
lens model
overall
(26.81%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.78%)
failure
(-0.68%)
harmonious color
(-2.34%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-57.47%)
intrusive object presence
(-11.60%)
lively color
(-21.64%)
low light
(80.42%)
noise
(-9.08%)
pleasant camera tilt
(-9.63%)
pleasant composition
(-82.52%)
pleasant lighting
(-50.34%)
pleasant pattern
(3.05%)
pleasant perspective
(-9.41%)
pleasant post processing
(0.72%)
pleasant reflection
(-1.73%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.27%)
tastefully blurred
(-12.79%)
well chosen subject
(-16.50%)
well framed subject
(-53.61%)
well timed shot
(5.67%)
all
(-9.82%)
* 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.