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Using Embeddings & Metrics to Build Better Computer Vision Models [Live Coding + Q&A]
Hosted by Tyler Odenthal
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Past Event
About Event
We're taking the confusion out of confusion matrices (amongst other computer vision evaluation techniques).
This is a hands-on session where we'll use open source libraries like supervision and hosted tools like roboflow to debug model performance.
Join this session and live Q&A where we'll walkthrough:
Using embeddings to identify patterns of model failure in your datasets
Identifying which metrics are best to prioritize in a given scenario, including precision, recall, F1, mAP
Walking through a confusion matrix and actioning what it tells us to improve our models.
Please note this event is virtual, and RSVPs are individually approved to join the event. RSVP to ensure your spot.