Completed
– Canonical large-scale dataset
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Classroom Contents
Getting High-Quality Data for Your Computer Vision Models - Building Computer Vision Models
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- 1 – Introduction
- 2 – Why should we care about high-quality data for computer vision?
- 3 – Algorithmic methods for bias mitigation
- 4 – Model centric to data centric AI
- 5 – Take of EU
- 6 – Canonical large-scale dataset
- 7 – Self-supervised pretraining
- 8 – Image collection and labeling
- 9 – Data quality
- 10 – The future
- 11 – Questions
