Delineate
Delineate is an open-source application for drawing bounding boxes, segmentation masks and landmarks on images or videos for labeling data to train computer vision models.
Delineate: Open-Source Computer Vision Labeling Tool
A free and open-source application for annotating images, videos, and bounding boxes, segmentation masks, and landmarks for training AI models.
What is Delineate?
Delineate is an open-source software application designed specifically for drawing annotations on images and videos to label data for training computer vision algorithms. It allows users to draw bounding boxes, segmentation masks, and landmarks on media files to delineate objects of interest for tasks such as object detection, semantic segmentation, and pose estimation.
Some key features of Delineate include:
- Intuitive interface for drawing various annotation types like boxes, polygons, lines and points.
- Support for annotating images (JPG, PNG etc) and videos (MP4).
- Powerful label management tools for creating class hierarchies and managing object tags.
- Collaboration capabilities so multiple labelers can work on the same datasets.
- Exporting labeled data in popular formats like COCO JSON, CSV, Pascal VOC XML etc. for direct use in model training.
- Cross platform support across Windows, Mac and Linux.
- Completely open-source under MIT license for transparency and customization.
Overall, Delineate aims to provide an efficient, capable and easy-to-use application for generating high quality labeled data at scale to build better computer vision models. Its intuitive interface and cross-platform availability make it suitable for image annotation projects in academic research and industry.
Delineate Features
Features
- Draw bounding boxes, segmentation masks, and landmarks on images or videos
- Supports various file formats including PNG, JPEG, and DICOM
- Ability to export labeled data in common formats like COCO, PASCAL VOC, and TFRecord
- Keyboard shortcuts for efficient labeling
- Supports multiple annotation layers
- Handles both image and video data
Pricing
- Open Source
Pros
Open-source and free to use
Intuitive and user-friendly interface
Supports a wide range of data formats
Versatile labeling capabilities
Actively maintained and developed
Cons
Limited customization options compared to some commercial tools
May not have all the advanced features of enterprise-level annotation tools
Requires some technical knowledge to set up and use effectively
Official Links
Reviews & Ratings
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