Getting Started with Object Detection (ML) in Python | PictoBlox Machine Learning Environment

The Object Detection extension of the PictoBlox Machine Learning Environment is used to detect the objects present in a given picture. To train an Object Detection model, we need to ensure that the training samples are annotated. That is, target objects are enclosed in bounding boxes, and each bounding box is labeled with the corresponding class. Tutorial Link: https://ai.thestempedia.com/docs/pictoblox/machine-learning-environment/getting-started-with-object-detection-ml-in-python-coding/ Image Classifier Extension: https://ai.thestempedia.com/extension/object-detection-ml/ Machine Learning (ML) Environment introduces seven new categories of training models in Block and Python coding. This feature is available only in the desktop version (6.0.0 or above) of PictoBlox. Hosted and Content By: Akshat Srivastava (AI and Data Science Researcher)