Classification video tutorials

Basic workflow tutorial

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

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

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

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

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

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

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