Yoable - AI-Assisted Image Labeling Tool 🖼️🤖

Yoable is a powerful yet simple image labeling tool built in C# .NET 8.0, designed for bounding box annotation and AI-assisted auto-labeling. It supports manual labeling as well as YOLOv5 & YOLOv8 ONNX models for automatic object detection.

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✨ Features

📂 Image Management

• Import entire directories or individual images (.jpg, .png).
• Displays images in a list with preview support.
• Scalable UI layout for easy navigation.

🏷️ Labeling System

• Manual bounding box creation with resizable edges.
• Click & drag labels to reposition them.
• Supports deleting labels with the Delete key.
• Keyboard arrow support to move labels precisely.

🖥️ AI-Assisted Labeling (YOLO ONNX)

• Supports YOLOv5 & YOLOv8 ONNX models with DirectML (GPU) or CPU.
• Auto Label: Runs AI on all images and applies detections as labels.
• Auto Suggest: Suggests labels that require user confirmation before adding.

🔄 Dynamic Model Handling

• Supports multiple ONNX input sizes (640x640, 1280x1280, etc.).
• Automatically detects YOLO version based on ONNX output structure.
• Runs on DirectML (GPU) when available, otherwise falls back to CPU.

💾 Label Export & YOLO Format

• Exports labels in YOLO format (.txt with normalized coordinates).
• Allows users to select output directories for saving labels.

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🛠️ Installation & Setup

🔹 Prerequisites

• .NET 8.0 SDK (https://dotnet.microsoft.com/en-us/download/dotnet/8.0)
• Windows 10/11 (for DirectML support)
• A Pretrained YOLO ONNX Model

🔹 How to Run

1. Clone the Repository

   git clone https://github.com/Babyhamsta/Yoable.git
   cd yoable

2. Build & Run

   dotnet build
   dotnet run

3. Load Images & Models Import images via File > Import Directory / Import Image. Load YOLO model via Auto Label / Auto Suggest.

🖥️ Usage Guide

🏷️ Creating & Managing Labels

Left-click + drag: Draws a new bounding box. Click on a label: Selects and highlights it. Resize using corner handles. Move with arrow keys. Press Delete to remove a label.

🤖 AI-Assisted Labeling

Auto Label: Runs AI detection and auto-applies labels. Auto Suggest: Shows detections for approval before applying. Supports YOLOv5 & YOLOv8 ONNX models with automatic shape detection.

💾 Exporting Labels

Click File > Export Labels. Labels are saved in YOLO .txt format with image-aligned names.

📜 License

GNU General Public License v3.0 This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See the GNU General Public License for more details.

📜 You can read the full license here.

🤝 Contributing

Want to improve Yoable? Fork the repo and submit a PR!

For issues or feature requests, submit a GitHub Issue.