CHAPTER : 5. Selecting Data with Auto-Curate
5.2 Analyzing Reports (1): How to Select Data for Labeling
Learn how to use Auto-Curate reports to identify high-value data for labeling from large datasets. Presented in Korean with English subtitles, this video covers a key feature for making efficient use of limited labeling resources.
00:00Intro00:23Downloading a report from the Auto-Curate Reports menu01:02Summary01:47Class distribution02:32Cluster coverage03:33Sampling density distribution03:54Dense and sparse cluster examples by object
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CHAPTER : 5. Selecting Data with Auto-Curate6:45
5.3 Analyzing Reports (2): How to Select Training and Validation Datasets
CHAPTER : 5. Selecting Data with Auto-Curate
5.1 How to Run Auto-Curate
6:135.2 Analyzing Reports (1): How to Select Data for Labeling
5:105.3 Analyzing Reports (2): How to Select Training and Validation Datasets
6:455.4 Analyzing Reports (3): How to Find Edge Cases
3:285.5 Analyzing Reports (4): How to Find Mislabeled Data
3:57