RectLabel 4+

for object detection

Ryo Kawamura

    • Free
    • Offers In-App Purchases

Screenshots

Description

RectLabel is an offline image annotation tool for object detection and segmentation.

Key features:
Label polygons and pixels using Segment Anything models
Automatic labeling using Core ML models
Automatic text recognition for lines and words
Label cubic bezier curves, line segments, and points
Label oriented bounding boxes in aerial images
Label keypoints with a skeleton
Label pixels with brushes and superpixels
Settings for objects, attributes, hotkeys, and labeling fast
Search object, attribute, and image names in a gallery view
Export to COCO, Labelme, CreateML, YOLO, and DOTA formats
Export indexed color mask image and grayscale mask images
Video to image frames, augment images, etc.

How to use
https://rectlabel.com/help

Privacy policy
https://rectlabel.com/privacy

Terms of Use
https://rectlabel.com/terms

Post the problem to our Github issues page.
https://github.com/ryouchinsa/Rectlabel-support/issues

Have questions? Send an email to our support team.
support@rectlabel.com

Download our person dataset.
https://huggingface.co/datasets/rectlabel/datasets/resolve/main/person.zip

RectLabel Pro is for a long time use and different from the standard RectLabel for 2 points.
- The license can be bought by one-time payment. And the license corresponds to volume purchases.
- There are no network connections because there are no in-app purchases. To check the in-app purchases state, usually developers connect to their own server.

What’s New

Version 2024.06.07

- Improved "Resize images" feature so that it does not save empty xml files if there are no annotation files.
- Improved "Resize images" feature so that it remembers the resized size.
- Improved "Export COCO JSON file" feature so that when there are no annotations, "annotations" dictionary is not included. This is necesary for Detectron2 to evaluate the test dataset using inference_on_dataset funciton.
- Improved "Import COCO JSON file" feature so that when evaluating the test dataset on Detectron2 using inference_on_dataset function, the result COCO JSON file can be imported to RectLabel.

App Privacy

The developer, Ryo Kawamura, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Collected

The developer does not collect any data from this app.

Privacy practices may vary based on, for example, the features you use or your age. Learn More