Basic workflow tutorial
Topics covered:
- Training a single label classification model
- Analyzing model's performance
- Using the model inside the platform or via REST API
Labeling images for classification
Topics covered:
- Labeling images during the upload
- Adjusting the labels after the upload
- Changing thedefault label for the image
Selecting images for training
Topics covered:
- The default platform's behavior - training on all images
- Filtering images by label or by type
- Selecting images for training manually
Training a single label classification model in detail
Topics covered:
- Explanation of training parameters
- The relationship of per-class and global performance statistics
- Viewing and downloading predictions on train/validation sets
- Analyzing the learning curves
- Analyzing the confusion matrix
- Using the model inside the platform or via REST API
Training a multi-label classification model in detail
Topics covered:
- Uploading images from a folder
- Uploading image classification labels
- Including/excluding image labels from training
- Analyzing multi-label predictions
- Changing score thresholds for classification
- Analyzing precision-recall curve
- The definition of "best" and "last" model
- Making multi-label predictions
Training a model on one class tutorial
Topics covered:
- How to train a classification model on one class
- How to train multiple one-class classification models in an easy way
