Learn how to preprocess data for object detection models using Python. This article covers data augmentation, image resizing, and normalization.
Official PyTorch tutorial on data preprocessing for object detection models. Covers topics such as data loading, transformation, and batching.
Research paper on data preprocessing techniques for object detection models. Includes Python code snippets for data augmentation and image processing.
Open-source repository containing Python scripts for data preprocessing tasks such as image resizing, normalization, and data augmentation.
Online course on object detection models, including a module on data preprocessing. Covers topics such as data preparation, augmentation, and feature extraction.
Article discussing best practices for data preprocessing in object detection models. Covers topics such as data quality, annotation, and preprocessing techniques.
Stanford University course notes on data preprocessing for computer vision tasks, including object detection. Covers topics such as image processing, feature extraction, and data augmentation.
IEEE research paper on object detection model development, including a section on data preprocessing. Covers topics such as data collection, annotation, and preprocessing techniques.