RectLabel | Image Annotation Tool

Description

RectLabel is an offline image annotation tool developed by Ryo Kawamura, aimed at simplifying the process of object detection and segmentation for macOS users. Released in 2017, it has become a popular choice for developers due to its intuitive interface and robust functionality. RectLabel supports automatic labeling using Core ML models, including RF-DETR and YOLO26, allowing users to efficiently annotate images with minimal manual input.

The tool offers a range of features such as labeling polygons, pixels, bounding boxes, and keypoints with skeletons. Users can also label cubic bezier curves, line segments, and oriented bounding boxes in aerial images. RectLabel's export capabilities include formats like YOLO, COCO, CreateML, and DOTA, catering to diverse project requirements.

Pricing for RectLabel includes a standard subscription plan at $2.99/month or $9.99/year, with a free trial period available. RectLabel Pro offers a one-time payment plan of $19.99, suitable for long-term use. Both versions provide access to all features, ensuring flexibility for different user needs.

Targeted at developers and researchers, RectLabel is designed to save time and resources, allowing users to focus on their core projects. Its offline nature ensures privacy and security, making it a reliable choice for sensitive data handling. While RectLabel is a powerful tool, users should be aware of its macOS exclusivity, which may limit accessibility for non-macOS users.

RectLabel's Core Features

• Offline image annotation

• Object detection and segmentation

• Automatic labeling with Core ML models

• Label polygons and pixels

• Export to YOLO, COCO, CreateML, DOTA

• Label bounding boxes and keypoints

• Subscription and one-time payment plans

• Free trial available

How to use RectLabel?

1. 1

   Download: Obtain RectLabel from the website

2. 2

   Configure: Set up labeling preferences and hotkeys

3. 3

   Annotate: Use models to label images automatically

4. 4

   Export: Save annotations in desired formats

RectLabel's Use Cases

• Object Detection
• Image Segmentation
• Automatic Labeling
• Export Formats
• Privacy-Sensitive Projects

FAQ from RectLabel

• What is RectLabel used for?

  RectLabel is used for offline image annotation, focusing on object detection and segmentation.

• Does RectLabel support automatic labeling?

  Yes, RectLabel supports automatic labeling using Core ML models like RF-DETR and YOLO26.

• What export formats does RectLabel offer?

  RectLabel offers export formats such as YOLO, COCO, CreateML, and DOTA.

• Is there a free trial for RectLabel?

  Yes, RectLabel offers a free trial period, but a license must be purchased for continued use.

• What are the pricing options for RectLabel?

  RectLabel offers a subscription plan at $2.99/month or $9.99/year, and RectLabel Pro at $19.99 one-time.

• Can RectLabel be used on platforms other than macOS?

  RectLabel is primarily designed for macOS users, limiting its accessibility on other platforms.

• How does RectLabel ensure privacy?

  RectLabel operates offline, ensuring that no network connections are required, thus maintaining privacy.

• Who is the developer of RectLabel?

  RectLabel was developed by Ryo Kawamura, an independent full-stack engineer from Tokyo, Japan.