Photos | The Spotlight Shines on Her
A woman in a yellow dress takes the stage, captivating the crowd with her powerful voice and bold style, as the spotlight illuminates her every move at Coachella 2010. José María Torre watches from the audience, soaking in the electric atmosphere of the concert.
BLIP-2 Description:
a woman in a yellow dress singing into a microphoneChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
art urban rekognition_c night bracelet glasses performing arts leisure coachella activities dancing equipment optical jewelry device concert performer stage lighting torre josé microphone spotlight maría performance life sunglasses solo performance light saturday club accessories electrical crowd part
iso
1250
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
145mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
overall
(63.57%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.17%)
harmonious color
(10.28%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(64.11%)
intrusive object presence
(-44.26%)
lively color
(-12.47%)
low light
(95.51%)
noise
(-4.03%)
pleasant camera tilt
(0.20%)
pleasant composition
(-44.75%)
pleasant lighting
(2.96%)
pleasant pattern
(1.68%)
pleasant perspective
(9.48%)
pleasant post processing
(17.81%)
pleasant reflection
(0.31%)
pleasant symmetry
(0.27%)
sharply focused subject
(9.67%)
tastefully blurred
(43.29%)
well chosen subject
(17.54%)
well framed subject
(61.43%)
well timed shot
(43.65%)
all
(9.90%)
* 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.