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Introducing Agentic Object Detection! Given a text prompt like “unripe strawberries” or “Kellogg’s branded cereal” and an image, we use an agentic workflow to reason at length and detect the specified objects. No need to label any training data. Watch the video for details.

398,400 views • 1 year ago •via X (Twitter)

11 Comments

Andrew Ng's profile picture
Andrew Ng1 year ago

You can also play with the demo here:

Breadcrumb's profile picture
Breadcrumb2 years ago

Looking to automate reporting? Use AI agents to turn spreadsheets to reports in minutes without any coding.

Edrick🕗's profile picture
Edrick🕗1 year ago

Agentic workflows for computer vision makes so much sense

Inforida's profile picture
Inforida1 year ago

Agentic Object Detection sounds fascinating. The ability to reason without labeled data is a game changer. Imagine applying this to educational tools to enhance learning experiences, making AI-powered learning more intuitive. Keep pushing the boundaries of innovation.

jc_stack's profile picture
jc_stack1 year ago

Have you tested this against more complex scenarios like partially occluded objects or under varied lighting conditions? Really curious about edge cases and performance degradation patterns.

Marian Veteanu's profile picture
Marian Veteanu1 year ago

Super cool! This has lots of applications!

Lets go Seahawks 🇺🇦's profile picture
Lets go Seahawks 🇺🇦1 year ago

i asked it to detect rectangle in batsman picture and it cant find it.

Lets go Seahawks 🇺🇦's profile picture
Lets go Seahawks 🇺🇦1 year ago

and also, what's #23 wearing? isnt it a hat?

NEXUS AI Solutions's profile picture
NEXUS AI Solutions1 year ago

That's fascinating! Using agentic workflows to detect objects without labeled data could revolutionize how we approach image recognition tasks. How do you think this technology could be adapted for real-time applications like autonomous vehicles?

Nimaano's profile picture
Nimaano1 year ago

Its amazing

Andrew Ng's profile picture
Andrew Ng1 year ago

Thanks!

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