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Feature overview
Training a deep learning model is an iterative process, and each iteration requires the identification of areas of weakness in the model and retraining the model on relevant data that will improve or eliminate the area of weakness. The model analyze...
Updated on : 09 Jul 2024
Analyze Classification
Analyze classification type of job is used to analyze a single class classification model. Catalog This type of job requires the following catalog fields to be present in the catalog. Ground truth class (string) Predicted class (string) ...
Updated on : 09 Jul 2024
Analyze Object Detection
This type of job analyzes object detection model output, which has class, bounding box, and confidence. Catalog This type of job requires the following fields to be present in the catalog. Ground truth class(string) (gt_class) Ground tru...
Updated on : 09 Jul 2024
Analyze Segmentation
This type of job analyzes the output of an instance segmentation model, which has class, segments in the form of polygons, and confidence score. Catalog This type of job requires the following fields to be present in the catalog. Ground tru...
Updated on : 28 Jul 2024