Data augmentation tool for images

various cv tools, such as label tools, data augmentation, label conversion, etc.

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💡GENIUS – generating text using sketches! A strong text generation & data augmentation tool.

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Natural Language Data Augmentation Tool for Conversational Systems

Image data augmentation tool for training of image recognition algorithm

Deep Illuminator is a data augmentation tool designed for image relighting. It can be used to easily and efficiently generate a wide range of illumination variants of a single image.

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Audio degradation toolbox in python, with a command-line tool. It is useful to apply controlled degradations to audio: e.g. data augmentation, evaluation in noisy conditions, etc.

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A simple tool to boost your image data with simple, size-safe augmentations

A complete ELECTRA-based framework for Big Five personality trait recognition, featuring data augmentation, single-trait model training, k-fold cross-validation, grid search optimization, inference tools, and full reproducibility of the associated research article.

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Set of advanced data augmentation and analytics tools

Training data generator for Text Detection and Text Recognition for docTR, EasyOCR, MMOCR, PaddleOCR and other OCR tools. Offers support for data augmentation and label drawing.

Round Trip Translation(RTT) tool for Korean data augmentation

Tool that uses data augmentation for training CNN models specialized in multi-label classification of thorax anomalies in X-ray images.

本项目使用的是商汤科技的mmdetection，链接如下https://github.com/open-mmlab/mmdetection 一、安装 (1)环境配置 Linux (tested on Ubuntu 16.04 and CentOS 7.2) Python 3.4+ PyTorch 1.0 Cython mmcv >= 0.2.2 (2)安装步骤 #上传的模型为已经安装后的版本，应该不需要再次安装，为保险起见，附上安装过程 先编译 cd code cd mmdetection pip install cython ./compile.sh 后安装 python(3) setup.py install # 或者用句号结尾安装 "pip install ." 二、数据准备 (1)解压数据 运行code目录下zip.py文件，解压的数据存放于data/First_round_data/目录下 (2)数据增广 运行code目录下data_augmentation.py，生成增广图集和新的标注.pkl文件，位置于mmdetection/data/coco/annotations (3)测试文件目录 运行code目录下pickle_file_creation.py，读取测试集图片名 三、模型训练 在code/mmdetection/目录下，运行 ./tools/dist_train.sh ./config/retinanet_r101_fpn_1x.py 4 --validate #其中4表示gpu数量 四、测试模型 在code/mmdetection/目录下，运行 python tools/test.py config/retinanet_r101_fpn_1x.py work_dirs/fifi/epoch_20.pth --gpus 4 --final1.pkl 运行code目录下json_to_json.py，submit/目录中将生成最终上传的json文件final.json

Audio data augmentation tool for machine learning projects.

[Sensors] Official Implementation of "Poseidon: A data augmentation tool for small object detection datasets in maritime environments".

Curated tools for the full CV pipeline: training, data augmentation, experiment tracking, inference, edge deployment, and MLOps.

Aug Tool is a Python library available on PyPI that simplifies image data augmentation for machine learning tasks, compatible with TensorFlow, PyTorch, and the YOLO library.

ArchaeolDA. Data Augmentation tool for Deep Learning algorithms

Augmented Qualitative Data Analysis — local-first QDA tool with AI augmentation via Ollama

A machine learning pipeline using XGBoost to predict chloride-induced corrosion in reinforced concrete. This project includes a complete workflow from data augmentation and feature scaling to sensitivity analysis, providing a predictive tool for infrastructure durability assessment.

This library is designed to augment audio data for machine learning purposes. It combines several tools and libraries for audio data augmentation and provides a unified interface that can be used to apply a large set of audio augmentations in one place.

A suite of command-line tools for common WAV audio processing tasks, including conversion from other formats, data augmentation, loudness normalization, spectrogram generation, and validation.

A Python tool for managing YOLO datasets, including YOLOv5, YOLOv8, YOLOv11 and other Ultralytics-supported models. It streamlines tasks like dataset combination, data augmentation, class removal, and annotation visualization supports bounding box and segmentation formats, making it an essential tool for developers and researchers.