In ML model development, we are vigilant in avoiding data whirlpools—a scenario where one thing can break everything. Orchestrate your model development with Linear Logic projects.
Linear Logic supports a wide variety of data annotations.
Annotation marking objects or features as present or absent.
Predefined class or label representing distinct types of objects or entities within the image.
Annotation indicating the direction of features or elements in an image, crucial for tasks like object orientation detection.
Unique identifier for individual objects within a dataset, enabling differentiation between multiple instances of the same category.
Annotation of numerical data or quantities present in the visual content.
Annotation of textual information within an image, essential for tasks like OCR and document analysis.
Whether you optimize speed or accuracy, with labeling workflows you take the initiative.
Projects allow you to structure the labeling process with a variety of different workflow stages. Bring annotation, review and even automated logic stages to the game.
Your playground to efficient data labeling. Connect with any model using a simple API access. Check out the Linear Logic Cookbook for an example.
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