Jasi Toolkit

Jasi Toolkit: Open-Source Computer Vision Library

An open-source computer vision library providing pre-trained models and workflows for image processing and computer vision applications like image classification, object detection, and semantic segmentation.

What is Jasi Toolkit?

Jasi Toolkit is an open-source computer vision library designed to make computer vision more accessible to developers and data scientists. It provides pre-trained models, workflows, and tools to help build image processing and computer vision applications without requiring deep expertise in computer vision.

Some key capabilities and features of Jasi Toolkit include:

• Pre-trained models for tasks like image classification, object detection, instance segmentation, semantic segmentation, and more using state-of-the-art architectures like ResNet, YOLO, Mask R-CNN, etc.
• Easy-to-use workflows and APIs for running inference on images and videos with just a few lines of code
• Tools for customizing, fine-tuning and training models on new datasets
• Modular design allowing you to use only the components you need
• Cross-platform support for running on edge devices, desktops, cloud environments
• Active open source development community for contributors

By handling much of the complexity of building computer vision models, Jasi Toolkit makes it easier for developers of all skill levels to integrate intelligent image processing and understanding capabilities into their applications and products.

Jasi Toolkit Features

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