Darwin's Auto-Annotate Tool immediately generates annotations through a neural network tuned to your dataset. As you progress, Auto Annotate becomes more refined as it learns from new data and allows you to generate datasets 3 to 5 times faster.
Learn more about Auto-Annotate
Used for detecting objects in space. Bounding-boxes are both faster to annotate and to run than most segmentation-based networks.
- Object Detection
Used when you need to find the contour of an object like a silhouette, or define an amorphous entity like “sky” or “road”.
- Object Detection
- Semantic Segmentation
- Instance Segmentation
Automatically trains a model on your data to quickly create polygon annotations around objects. As your dataset grows, Auto Annotate improves with it.
Defines a point, visible or abstract, on an object. Often used to detect parts of an item, defects, or corners. Keypoints are lightweight and quick to annotate.
- Keypoint Detector
A 3D rectangular prism with 6 degrees of freedom. Often used for object pose and robotic grasping. Sometimes known as 3D bounding-box.
- 6DoF Pose Estimator
Used for training classifiers - the quickest and often most reliable form of image recognition.
- Classifier
Like tags, but for individual objects. Mark items as “occluded” or “blurry”, or refine an object’s visible description such as a person being “standing” or a cloud being “nimbus”.
- Classifier
Add text of arbitrary length to this object. Used for detecting characters, words, or paragraphs and storing the contained text as ground truth.
- Text Detector
- Character Recognizer
Used to define the direction an object is moving in or to learn the orientation of an object, such as a highway from a satellite or an eye’s gaze.
- Detector/Segmenter + Direction
When your team's needs go beyond the standard tools, you can write plugins to add new functionalities and annotation types, giving you the freedom to expand the platform.
Darwin was developed with scientific research in mind, providing annotation accountability and a detailed review system.
You may work with your own labelling team, or have us connect you with an experienced partner with the right staff for your field.
Our Elixir back-end is built to handle enterprise-scale concurrent events, so you can version, copy, manage, export, or add millions of images without slowing down your workflow, even at medical imaging scale.
Upload, annotate, and share image datasets for research, allowing others to browse or fork them.
Open Datasets don't require a V7 account to browse, and are hosted free of charge for both commercial and non-commercial use.
Pay for what you use. Add as many users, annotators, or datasets to your team as you wish, and only pay for the resources you actually make use of.
Unlimited users
10GB storage
10,000 Annotations / mo
1 Auto-Annotate model
Standard pricing applies thereafter.
Your own private instance of Darwin. For teams with large amounts of data, or images of sensitive nature. Comes with additional support resources.
Our most secure offering. For enterprise customers with highly sensitive data. Comes with additional support resources and dedicated hardware.
