bxt-kk/vikit-learn
Vikit-learn is a computer vision processing toolkit developed using Python, based on deep learning technology.
This toolkit helps computer vision engineers and researchers build and deploy deep learning models for various image analysis tasks. You provide labeled image datasets, and it outputs trained models capable of tasks like identifying objects, segmenting images, or detecting text. It's designed for those who want to quickly train and use models for real-world computer vision applications.
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Use this if you need to train and deploy deep learning models for image classification, object detection, semantic segmentation, keypoint detection, or optical character recognition (OCR).
Not ideal if you are a beginner looking for a no-code solution or if your primary focus is on cutting-edge research in model architecture rather than application.
Stars
16
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Apr 17, 2025
Commits (30d)
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