Aug 13 - From Cold Pool to Hot Queue: Annotation Curation with FiftyOne

Hands-on workshop: run the full rare-class mining loop end-to-end with FiftyOne, from unlabeled pool to fine-tuned detector.
About this Event
In this hands-on workshop, you'll use FiftyOne to run the full rare-class mining loop end-to-end on a large unlabeled image pool.

Join us at Microsoft Research Lab – New England (NERD) at MIT, Deborah Sampson Conference Room, One Memorial Drive, Cambridge, MA for a hands-on workshop on annotation curation with FiftyOne.

You'll compress the pool with near-duplicate detection, embed images with a modern vision backbone, mine candidate positives via seeded similarity from a tiny labeled set, confirm them through targeted human review, and prioritize the survivors for annotation using representativeness and uniqueness scores. Then you'll fine-tune a detector on the prioritized examples and come back to FiftyOne to verify the missed-mode clusters actually got covered.

Featured talk:

• From Cold Pool to Hot Queue: Annotation Curation with FiftyOne - Harpreet Sahota, Voxel51

What you'll walk away with:

• A working FiftyOne pipeline for finding rare classes in any visual dataset you own
  
• A repeatable four-stage funnel (compress, mine, confirm, prioritize) with a clear objective at each stage
  
• A fine-tuned detector that demonstrably outperforms one trained on the same number of randomly sampled images
  
• The mental model that data curation, not architecture or hyperparameters, is the highest-leverage thing you can do to improve a rare-class detector

Expect practical, hands-on work plus dedicated time to connect with engineers and researchers working across computer vision, multimodal AI, and physical AI.

Spots are limited, so register early.