dataset-tools

一个功能完整的 SemanticKITTI 数据集处理工具包，支持点云可视化、语义分割评估和多种数据格式转换。

Local Python/Tkinter dataset curation tool for LoRA image training.

Bring a folder of images, leave with a trained LoRA. Agent skills (SKILL.md) for quality-gated LoRA training: dataset doctor + safe fixer + one-confirmation training orchestration for SD-Trainer / lora-scripts-next. Anima-first, SD1.5/SDXL/Flux.

Image board browser to search up references for SD models.

A local, browser-based tool for building character LoRA training datasets with AI-generated captions. EDICO turns a folder of character images into a clean, captioned training dataset — no command-line juggling, no manual caption typing.

Offline-first edge vision engineering workbench for YOLO data, experiments, benchmarking, and RDK X5/Linux delivery on macOS.

Локальный AI-инструмент для подготовки датасетов изображений и генерации описаний для обучения LoRA

All-in-one AI workbench program for Vision AI model inference, evaluation, benchmarking, optimization & dataset management

End-to-end YOLO11 computer vision for Arena Breakout: high-speed Windows capture, AI-assisted annotation, dataset QA, training, evaluation, and real-time inference.

Функции для подготовки датасетов Object Detection в Google Colab

Dataset operations and release-governance toolchain for the HeOCR Hebrew OCR/HTR ecosystem.

Waveform Database (WFDB) implementation in pure Rust.

TGC developer: t.me/forget_git

OpenAxiom — A local PySide6 UI Lab annotation MVP and batch-safe YOLO label tool.

A local-first workbench for reviewing, trimming, segmenting, and safely exporting LeRobot datasets.

YOLO数据集训练一体化工具箱：视频抽帧→标注→训练→半自动预标注→微调→最终划分的一站式GUI工具

Utility tools for dataset preparation and management, including image renaming, CSV to Excel conversion, and AI-powered image labeling.

Automatically translate structured datasets (CSV, JSON, JSONL, TSV, Parquet) using LLMs via Ollama — with caching, parallelism, checkpointing, and retry support.

Some small tools that you might need when cleaning data and creating training sets.大家在进行数据清洗和训练集制造时可能会需要的一些小工具。

Standalone Python scripts for computer vision: image augmentation (rotate, flip, perspective with Pillow/OpenCV), dataset splitting (scikit-learn), and model testing (TensorFlow + matplotlib).