Data Annotation on @Ultralytics Platform | Tutorial #1 | SAM3 Auto-Annotation

Try platform here: https://platform.ultralytics.com/?utm_source=youtube&utm_medium=social&utm_campaign=platform_launch&utm_content=description_link&utm_term=ammar_mirali

We pushed the @Ultralytics Platform to the limit using the brand-new #SAM3 model — and the speed was unreal. 🚀
What used to be days of painful manual labeling turned into hours. SAM3's intelligent click-to-segment workflow delivered pixel-perfect instance segmentation masks right out of the box. We could flip between SAM3 and the lighter models depending on whether we needed maximum accuracy or maximum speed.

Result? 2–3× faster annotation with zero drop in quality.
Everything happened inside one clean, browser-based workspace:
Upload → Smart Annotate → Point and Click to Annotate → Export ready-to-train data

No clunky tools. No format headaches. No switching tabs.
And it doesn't stop at annotation — the platform gives you deep dataset analytics right out of the box:
Objects per image
Image formats & sizes
Bounding box dimensions
Annotation locations & heatmaps
Split distribution (train / val / test)
…and a lot more.

This is exactly why Ultralytics built the platform — to make computer vision teams insanely more productive from day one.
If you're training any YOLO model, doing instance segmentation, or just tired of slow annotation workflows… You need to try this.
→ Head to Ultralytics Platform and test SAM3 for yourself ($5 bonus credits)
👉 Dataset & full video walkthrough — links in the comments!

If you found this useful, follow me and feel free to DM — happy to help your team get set up. 🙌
What's the biggest annotation bottleneck you're facing right now? Drop it in the comments 👇

#Ultralytics #ComputerVision #SAM3 #DataAnnotation #YOLO #MachineLearning #AI #InstanceSegmentation #MLOps #DeepLearning

Видео Data Annotation on @Ultralytics Platform | Tutorial #1 | SAM3 Auto-Annotation канала Ammar Ali