Image labeling tutorials
Labeling tool tutorial
Topics covered:
- Labeling bounding boxes, polygons, bitmaps
- Adding keypoints ant attributes
- Converting bounding boxes and polygons to bitmaps and vice-versa
- Labeling occluded objects
- Using smart labeling tool
- Downloading and uploading image labels
Managing labeling projects tutorial
Topics covered:
- Sharing projects
- Managing roles and permissions
- Tracking image labeling time
- Filtering images
- Reviewing labeled images
- Labeling settings
Labeling images for classification
Topics covered:
- Labeling images during the upload
- Adjusting the labels after the upload
- Changing thedefault label for the image
Classification video tutorials
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
Object detection tutorial
Object detection training tutorial
Topics covered:
- Basics of bounding box labeling
- Selecting parameters
- Training object detection model
- Analyzing learning curve
- Analyzing statistics and predictions
- Analyzing precision-recall curve
- Changing score thresholds
- Downloading model or using it online
Image segmentation model training tutorial
Object detection training tutorial
Topics covered:
- Basics of bitmap and polygon labeling
- Smart labeling tool
- Training image segmentation model
- Viewing predictions on training and validation sets
- Analyzing performance statistics
- Changing score thresholds
- Making predictions via web platform
- Using the model for AI-assisted/iterative labeling
- Making predictions via REST API
- Downloading offline model
Similarity search tutorial
Image similarity search tutorial
Topics covered:
- 1vN similarity search by uploading image
- 1vN simiarlity search by choosing an image from your data set
- NvN similarity search
- Similarity search history
- Similarity search via REST api
Labeling by image similarity tutorial
Topics covered:
- Labeling by image similarity feature
- Changing parameters
- Adjusting suggested labels manually
- Performing AI-assisted labeling iteratively
- Downloading classification labels
