Sentisight Demo

Summary

Topics covered: - Training a single label classification model - Analyzing model's performance - Using the model inside the ... Topics covered: - Explanation of training parameters - The relationship of per-class and global performance statistics - Viewing ... Topics covered: - How to train a classification model on one class - How to train multiple one-class classification models in an ... Topics covered: - Labeling bounding boxes, polygons, bitmaps - Adding keypoints ant attributes - Converting bounding boxes and ... Topics covered: - Basics of bitmap and polygon labeling - Smart labeling tool - Training image segmentation model - Viewing ... Topics covered: - The default platform's behavior - training on all images - Filtering images by label or by type - Selecting images ... Topics covered: Labeling by image similarity feature Changing parameters Adjusting suggested labels manually Performing ... Topics covered: - 1vN similarity search by uploading image - 1vN simiarlity search by choosing an image from your data set - NvN ... Topics covered: - Drawing and adjusting polygons - Adding holes inside polygons - Polygon groups - Fixed vertex count setting ... Topics covered: - Override labels when uploading JSON setting - Auto labeling setting - Skip already labeled images setting ...