Photos | Birdman of the Cock Fight

Amélie de Montchalin photographs a man in a bird costume carrying an actual bird on his back at a local cock fighting event in 2002.
BLIP-2 Description:
a man in a costume with a bird on his backMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture costume jeans pants necklace urban building baseball portrait footwear toy cap outdoors lamp hat crowd furniture jacket amélie de montchalin balloon shoe photos/cock_fight bag sandal city old shirt coat junglescene glasses indoors pinata backpack jewelry living room accessories room cock fight photography handbag shelter
Detected Text
date
2002-09-21T00:23:24-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(21.09%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-0.46%)
harmonious color
(-2.76%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-30.79%)
intrusive object presence
(-6.86%)
lively color
(-7.78%)
low light
(48.46%)
noise
(-8.54%)
pleasant camera tilt
(-13.35%)
pleasant composition
(-67.97%)
pleasant lighting
(-58.20%)
pleasant pattern
(9.23%)
pleasant perspective
(-18.55%)
pleasant post processing
(3.02%)
pleasant reflection
(-0.05%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.10%)
tastefully blurred
(-7.37%)
well chosen subject
(-38.06%)
well framed subject
(-32.67%)
well timed shot
(-5.66%)
all
(-11.23%)
* 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.
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.