Hasty

Hasty

Hasty is an AI-assisted data annotation platform for computer vision, pairing automated labeling tools with CloudFactory's expert workforce for Vision AI teams.

Tags
ai-image-segmentationai-data-miningeducationArtificial Intelligence
Last Updated Nov 10, 2026
Hasty screenshot

About

Hasty is an AI-powered data annotation platform built for computer vision projects. Training a vision model requires large volumes of accurately labeled images and video, and labeling that data by hand is slow, expensive, and inconsistent. Hasty addresses this by combining AI-assisted labeling technology with human expertise, so teams can prepare high-quality training datasets faster and with fewer errors.

The platform supports common computer vision tasks such as image classification, object detection, and semantic, instance, and panoptic segmentation. Hasty is associated with CloudFactory, a company that provides managed data-labeling workforces for Vision AI use cases, and its supporting materials include an extensive Computer Vision Wiki covering model architectures, metrics, loss functions, optimizers, and augmentation techniques. This makes Hasty relevant both as a labeling tool and as part of a broader data-engineering service for machine learning teams.

Key Features

AI-assisted annotation: Automated labeling technology for 2-D images and video that reduces the manual effort needed to produce training data.
Human-in-the-loop quality control: Expert annotators and review processes catch errors that fully automated pipelines tend to miss, improving dataset consistency.
Support for core vision tasks: Coverage includes image classification, object detection, and semantic, instance, and panoptic segmentation, plus attribute prediction.
Video and LiDAR workflows: CloudFactory's bundled workforce offerings extend beyond images to video, LiDAR, and other modalities.
Managed workforce option: Teams can outsource labeling operations entirely rather than staffing and training annotators themselves.
Computer Vision Wiki: A reference library with explanations, practical context, links, and code examples for topics ranging from U-Net and Faster R-CNN to mAP, IoU, and data augmentation.
Learning resources: Guides on data labeling, computer vision, NLP, and data processing supplement the tooling with educational material.

Pricing & Fees

  • Pricing: Not publicly listed on the pages we reviewed; check the official site for current plans.
  • Access: Product and documentation are available through the official site at hasty.ai, alongside CloudFactory's solutions pages.
  • Documentation: Includes user docs, an API reference, and a detailed wiki organized by task, architecture, metric, and training parameter.
  • Audience fit: The wiki assumes some prior computer vision knowledge; beginners are pointed to introductory lecture material before diving deeper.

Who It's For

Hasty is aimed at machine learning engineers, data scientists, and AI teams that need accurately labeled image or video datasets for computer vision models. Typical users work at companies building vision applications in areas such as autonomous driving, medical imaging, agriculture, or industrial inspection. It also suits organizations that lack in-house annotation capacity and prefer a managed workforce, as well as newcomers and experienced practitioners who want a structured reference for computer vision terminology and techniques.

FAQ

What is Hasty?Hasty is an AI-assisted data annotation platform for computer vision that combines automated labeling for images and video with expert human annotators and quality assurance.

Is Hasty free to use?Pricing is not publicly listed on the pages reviewed; interested teams should consult the official website for plan and cost details.

Which computer vision tasks does Hasty support?The platform covers image classification, tagging, object detection, instance, semantic, and panoptic segmentation, and attribute prediction.

Does Hasty work with video and LiDAR data?Yes, CloudFactory's related workforce offerings include tooling and services for video and LiDAR in addition to 2-D image labeling.

Do I need computer vision experience to use Hasty's resources?The accompanying Computer Vision Wiki assumes some prior knowledge, and beginners are directed to introductory lectures before using the wiki for deeper study.