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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.

398,353 Aufrufe • vor 1 Jahr •via X (Twitter)

11 Kommentare

Profilbild von Andrew Ng
Andrew Ngvor 1 Jahr

You can also play with the demo here:

Profilbild von Breadcrumb
Breadcrumbvor 2 Jahren

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

Profilbild von Edrick🕗
Edrick🕗vor 1 Jahr

Agentic workflows for computer vision makes so much sense

Profilbild von Inforida
Inforidavor 1 Jahr

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.

Profilbild von jc_stack
jc_stackvor 1 Jahr

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.

Profilbild von Marian Veteanu
Marian Veteanuvor 1 Jahr

Super cool! This has lots of applications!

Profilbild von Lets go Seahawks 🇺🇦
Lets go Seahawks 🇺🇦vor 1 Jahr

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

Profilbild von Lets go Seahawks 🇺🇦
Lets go Seahawks 🇺🇦vor 1 Jahr

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

Profilbild von NEXUS AI Solutions
NEXUS AI Solutionsvor 1 Jahr

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?

Profilbild von Nimaano
Nimaanovor 1 Jahr

Its amazing

Profilbild von Andrew Ng
Andrew Ngvor 1 Jahr

Thanks!

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