Fritz vs Igel

Image labeling - With the Image Labeling feature, you can identify the contents of an image or each frame of live video. Each prediction returns a set of labels as well as a confidence score for each label. Image Labeling can recognize people, places, and things. The underlying ML model was trained on millions of images and hundreds of labels.; Object detection - With the Object Detection feature, you can identify objects of interest in an image or each frame of live video. Each prediction returns a set of objects, each with a label, bounding box, and confidence score.

Supports all state of the art machine learning models (even preview models); Supports different data preprocessing methods; Provides flexibility and data control while writing configurations; Supports cross validation; Supports both hyperparameter search (version >= 0.2.8); Supports yaml and json format; Supports different sklearn metrics for regression, classification and clustering; Supports multi-output/multi-target regression and classification; Supports multi-processing for parallel model construction