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This release has been yanked by its maintainers, and will be ignored by installers, except when explicitly specified.
Consider using release 0.1.3 instead.
Reason given by maintainers: old version

SwiftVision.ai

SwiftVision Logo

Offline Image Annotation Studio — A fast, keyboard-driven bounding box annotation tool for creating YOLO-format datasets. 100% offline, no cloud, no account required.

PyPI version Python 3.8+ License: MIT


✨ Features

  • 🖱️ Draw boxes with mouse — drag corners to resize
  • ⌨️ Arrow keys to nudge boxes (Shift = 10px steps)
  • 🔢 Number keys 1-9 to apply classes instantly
  • ↩️ Undo / Redo with Ctrl+Z / Ctrl+Y
  • 💾 Auto-save YOLO .txt files — only for annotated images
  • 📋 Copy labels from previous image in one click
  • 🎨 SwiftVision green branding with custom logo + favicon
  • 🖼️ Zoom, pan, hover crosshair guides for precision
  • 🗑️ Right-click a box to delete instantly
  • 🎯 Full-screen canvas with sidebars

📦 Installation

pip install swiftvision

Requirements: Python 3.8+, Pillow

Linux users: If Tkinter is missing:

sudo apt install python3-tk

🚀 Quick Start

swiftvision
  1. Click Load Folder and pick your images directory
  2. Add class names in the right sidebar
  3. Draw boxes by dragging on the image
  4. Assign a class via single-click or number keys 1-9
  5. Use Ctrl+Z / Ctrl+Y for undo/redo
  6. Click Save All Labels to write .txt files

⌨️ Keyboard Shortcuts

Key Action
Left / Right Move box 1px (or prev/next image)
Shift + Left / Right Move 10px
Up / Down Move box vertically
1-9 Apply class N
Del / Backspace Delete selected box
Ctrl+Z Undo
Ctrl+Y Redo
Ctrl+S Save project
Ctrl+E Export YOLO
R Rename class
N Focus new class input

🖱️ Mouse Controls

Action What it does
Left click + drag Draw new box
Left click on box Select box
Drag inside box Move it
Drag corner Resize
Right click on box Delete
Right click + drag Pan image
Mouse wheel Zoom

📜 License

MIT License

Metadata

Release files for swiftvision 0.1.1

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0.1.3

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0.1.2

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0.1.1 This release

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