Free local LoRA training studio: build character, style and concept datasets from one photo or a big image folder, caption them (JoyCaption, prose or booru tags), train LoRAs with ai-toolkit for Krea 2, FLUX.1, FLUX.2 Klein, Qwen-Image 2.1, Z-Image, SDXL and Anima, then compare checkpoints side by side. ComfyUI-powered, self-hosted.

dataset-preparation 开源项目推荐(65 个)
dataset-preparation 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 65 个仓库Windows工具,用于并排图片与文本浏览、手动标题/标签编辑以及批量数据集操作。 非常适合LoRA和机器学习数据集准备,完全离线,私密且易于使用。
ManaTTS is the largest open Persian speech dataset with 114+ hours of transcribed audio. Includes data collection pipeline and tools. Suitable for Persian text-to-speech models.
Various scripts, mostly intended to help with model training and dataset creation
This comprehensive guide provides a universal process for preparing your own speech datasets and training a custom Text-to-Speech (TTS) model.
🚀 A powerful tool to automatically generate descriptive tags for image datasets using both WD Tagger and VLM, with a user-friendly web UI. Perfect for preparing training data for Stable Diffusion and LoRA.
Scripts to help easily create image pair datasets for super resolution models
DALLE-tools provided useful dataset utilities to improve you workflow with WebDatasets.
A free licensed Persian TTS dataset including 6+ hours of audio-text pairs with subject
Artifician is an event-driven framework designed to simplify and accelerate the process of preparing datasets for Artificial Intelligence models.
This repository presents a project focused on image recognition of nuts and screws using object detection techniques. The objective is to develop a model capable of accurately detecting and classifying nuts and screws in images, enabling automation and quality control in industrial settings.
Batch image & dataset toolkit for ComfyUI — folder iteration, workflow saving, training data prep with Auto Queue
Dataset Forge - Your Dataset helper.
🚀 Whenever you need to look through huge pile of images and cannot use force of file explorer, or you just work on a remote headless machine, you can use this tool. It also allows to move files from one folder to another, creating destination if it does not exist. Work in progress.
A Python library for building local web apps to manually classify images into custom categories - perfect for preparing ML training datasets.
Prepare image datasets for LoRA training (Ostris AI Toolkit / Z-Image Turbo): quality checks, captioning (templates / Claude Vision / Florence-2), 20+ validation rules. Agent Skill for Claude Code & Cursor + standalone CLI.
🌾 Wheat Detection using YOLO11n! 📸 Installs Ultralytics, trains on GlobalWheat2020 dataset, and detects wheat heads with bounding boxes. Includes dataset setup, model training, and inference. 🚀
Data preparation and evaluation toolkit for chess neural network models
Simple desktop tool for extracting a target speaker from long recordings and building clean voice datasets for voice conversion and cloning.
This repository contains code for training a convolutional neural network (CNN) model to classify images.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/dataset-preparation。
- 该话题在 GitHub 上共有 65 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 689 Star,覆盖 3 种主要语言,数据更新于 2026-11-10。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。