Hasty.ai - Short Review

Image Tools



Introduction to Hasty.ai

Hasty.ai is a sophisticated image annotation platform designed to streamline and accelerate the process of creating ground-truth datasets for machine learning applications, particularly in the field of vision AI. This tool leverages advanced machine learning technologies to significantly reduce the time and effort required for annotating images.



Key Features and Functionality



AI-Assisted Annotation

Hasty.ai stands out with its AI-assisted annotation capabilities, which include tools such as bounding boxes, polygons, and brushes. These tools are enhanced by AI Assistants that learn from the user’s annotations. For example, the Object Detection AI Assistant can be activated after annotating as few as 10 images, and it continuously improves its predictions as more annotations are added.



Automation Levels

The platform offers multiple levels of automation:

  • Level One: Automates the labeling of single objects in an image using tools like Dexter and Grab Cut.
  • Level Two: Automatically labels entire images.
  • Level Three: Extends automation to batch processing entire datasets, allowing for efficient labeling of large datasets.


AI-Powered Quality Control

Hasty.ai incorporates AI Consensus Scoring and automated quality control features to ensure the accuracy and quality of annotations. The AI models identify potential mistakes in class labels or object detection annotations and highlight them for resolution. This feature helps in maintaining high-quality datasets by comparing multiple annotations and scoring them for accuracy.



No-Code Model Development

The platform includes a Model Playground that allows machine learning engineers to experiment with different models, algorithms, and hyperparameters without writing code. This feature facilitates rapid prototyping, swift feedback loops, and deep insights into model performance, enabling quick iterations and improvements.



Support for Various Annotation Types

Hasty.ai supports a wide range of annotation types, including:

  • Classification
  • Tagging
  • Object Detection
  • Instance Segmentation
  • Semantic Segmentation
  • Panoptic Segmentation
  • Attribute Prediction

This versatility makes it suitable for a broad spectrum of vision AI projects.



User-Friendly Interface and Hotkeys

The platform offers a user-friendly interface that simplifies complex annotation tasks. Hotkeys can be used to speed up the annotation process, making it more efficient and user-friendly.



Iterative Process and Feedback Mechanisms

Hasty.ai adopts an iterative approach to machine learning development, allowing practitioners to incorporate feedback and new insights seamlessly. Built-in feedback mechanisms help refine and optimize the annotation process, ensuring continuous improvement throughout the development cycle.



Credits and Accessibility

Users can access Hasty.ai’s automation features and tools using a credit system. The platform provides 3000 free credits per month, and additional credits can be purchased at a rate of 0.01 EUR per credit.



Getting Started

To begin using Hasty.ai, users can sign up via email or Google account and start creating projects. The AI tools become available once a sufficient number of manual annotations have been completed, typically around 10 images or 25 annotations for certain features.

In summary, Hasty.ai is a powerful tool for vision AI projects, offering AI-assisted annotation, advanced automation, AI-powered quality control, and no-code model development. These features collectively streamline the annotation process, enhance accuracy, and significantly reduce the time and effort required for preparing datasets for machine learning applications.

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