1 repo
Awesome GitHub RepositoriesData Preparation Utilities
Tools for formatting and structuring datasets for machine learning consumption.
Distinguishing note: Focuses on directory structure and annotation conversion for ML compatibility.
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Awesome Data Preparation Utilities GitHub Repositories
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- open-mmlab/mmdetection
open-mmlab/mmdetection
32,409View on GitHubThis project is a modular research toolkit designed for developing, training, and evaluating deep learning models for object detection, segmentation, and video instance tracking. It provides a flexible training engine that manages complex neural network execution, including distributed training, custom lifecycle hooks, and weight optimization. The framework is built around a hierarchical configuration system that allows users to define architectures, data pipelines, and training hyperparameters through composable, inheritable files. The project distinguishes itself through its highly modular
Provides utilities to organize data files and convert annotations into standard formats for training pipelines.
Pythoncascade-rcnnconvnextdetr
