Auto Annotation with Meta's Segment Anything 2 Model using Ultralytics | SAM 2.1 | Data Labeling

Join us in this in-depth walkthrough as we explore the Segment Anything Model 2 (SAM2) and its powerful features for auto annotation and dataset generation, now integrated with Ultralytics. We’ll show you how to perform automatic annotations and provide insights into exploring the auto-annotated datasets.

📚 Key Highlights:
00:00 - Introduction: Setting the stage for SAM2’s capabilities and use cases.
00:50 - SAM2 Documentation Walkthrough: Detailed overview of the SAM2 documentation.
02:05 - Auto Annotation with SAM2: Demonstrating SAM2’s automatic annotation functionality.
05:43 - Exploring Auto Annotated Dataset: A look into datasets annotated by SAM2.
07:10 - Conclusion and Summary: Key takeaways and final thoughts on SAM2 and its integration.

🔗 Key Ultralytics Resources:

🔬 Ultralytics YOLO Resources:

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[paula-derrenger]

Excited about auto annotation with SAM2? Let us know your thoughts or drop any questions below—our team is here and ready to help clarify or dive deeper into anything you’re curious about!

[KeyserTheRedBeard]

Impressive video, Ultralytics. Can't wait to see your next upload from you. I smashed the thumbs up button on your content. Keep up the fantastic work! The way you explained the integration of the Sam 2 model with YOLO 11 for auto-annotations is insightful. What challenges do you foresee in implementing this system in real-world applications, particularly with varied image quality and object types?

[felixkuria]

This is awesome, it took me several hours to do annotations.
For is it efficient like in agriculture for annotating pest and diseases ?

[FengyiYu-ck]

very interesting tool! Just wondering how accurate these labels are? can we make adjustments to the labels manually?

[kartikdeopujari]

Thank you, Ultralytics, for developing this amazing tool. I want to perform auto-annotation but in a rectangular bounding box format. How can I perform this using the autoannotate function?

[LunaStargazer-vs]

Fascinated by how SAM2 breathes life into auto annotation—do you think its automated labeling will ever rival the nuanced touch of a human expert, or are there subtle moments even the sharpest model might miss?

[AlexChen-fy]

Awesome demo! Quick Q: How does SAM2 handle edge cases like objects with amorphous boundaries (e.g., smoke, water) in auto annotation? Also, any thoughts on potential biases creeping in from pre-trained models during this process? Asking for my future skynet project...

[Meloia]

Auto annotation with SAM2 is looking sharp, but can this jazz handle edge cases like overlapping objects, or does it sometimes miss a beat when the data gets messy? I’m curious how far we can push its creativity before the harmonies fall apart—real-world datasets can be dissonant, né?

[youchengzhang]

Can det_model be default in Auto Annotation? I want to use sam tracking function to annotate automatically.

[sebasgranizo]

How can I edit the output masks? Does ultralytics have a tool for this?

[fangtony]

i wonder if my model doesn's shows well ability on my dataset, if i could use this way which is combine sam2 and my model to detect new objects or misssing objects that my model couldn's find on its own

[deadpoems]

So is this nothing different than roboflow dataset labeling tool can do (smart polygon)?

[MatheusFP]

How can I filter witch classes to segment?

[miguro]

If the algorithm is trained to detect these objects, why we need more annotated images...

[leticiafariasvieira]

How to I plot the annotation with the image

[fahmidhossainSakib]

Bro, learned a lot from you, thank you so much ! But i would like to request you something that is your intonation of voice is a bit annoying and monotunous. Could you please change this intonation or style of speaking?