From Big Data to Smart Data: How to Manage, Clean and Curate Your Visual Datasets for AI Development

Webinar Recording

Acquiring a dataset is just the beginning; the real challenge lies in refining it for training a Computer Vision model. Bloated, low-quality datasets waste resources and hamper model performance. The key to effective curation? Active Learning pipelines.

By employing Active Learning, teams can intelligently select data that significantly impacts the model's performance. This method focuses on the model's current needs, ensuring each data point is impactful. The result is a streamlined annotation process and a more accurate, efficient Computer Vision model.

Here are the key resources from the webinar:

• [Guide] How to curate your data
• [Case Study] See how one customer increased mAP by 20% through reducing their dataset size by 35% with visual data curation