Inference and fine-tuning examples for vision models from 🤗 Transformers
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Updated
May 5, 2025 - Jupyter Notebook
Inference and fine-tuning examples for vision models from 🤗 Transformers
This repository contains Jupyter Notebooks for training the YOLO11 model on custom datasets for image classification, instance segmentation, object detection, and pose estimation tasks.
This repository contains Jupyter Notebooks for training the YOLOv8 model on custom datasets for image classification, instance segmentation, object detection, and pose estimation tasks.
This short notebook visualizes and briefly explains the difference between the allocentric and the egocentric pose of an object, as used frequently in machine learning papers.
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an ASTRAL VISION PROXIA (C) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an ASTRAL VISION PROXIA (C-2) for POSE ESTIMATION when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
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