Prodigy ML Alternatives
Prodigy ML is described as 'A downloadable annotation tool for NLP and computer vision tasks such as named entity recognition, text classification, object detection, image segmentation, A/B evaluation and more' and is an app. There are more than 10 alternatives to Prodigy ML for a variety of platforms, including Web-based, Self-Hosted, SaaS, Windows and Linux apps. The best Prodigy ML alternative is UniversalDataTool, which is both free and Open Source. Other great apps like Prodigy ML are Argilla, Amazon SageMaker Data Labeling, Computer Vision Annotation Tool (CVAT) and DINOv2.
- Paid • Proprietary
21 likes19 UniversalDataTool alternativesThe Universal Data Tool is a User Interface for editing and annotating Images (Computer Vision, Bounding Boxes, Segmentation), Text (Named Entity Recognition, Classification) or general purpose data entry. to view and edit any data defined in the extensible the .udt.
UniversalDataTool VS Prodigy ML
Is UniversalDataTool a good alternative to Prodigy ML?
Argilla VS Prodigy ML
Is Argilla a good alternative to Prodigy ML?
1 like16 Amazon SageMaker Data Labeling alternativesAmazon SageMaker enables you to label raw data, such as images, text files, and videos, and generate labeled synthetic data to create high-quality datasets for training machine learning (ML) models. SageMaker offers two options, Amazon SageMaker Ground Truth Plus and Amazon...
Amazon SageMaker Data Labeling VS Prodigy ML
Is this a good alternative to Prodigy ML?
2 likes20 Computer Vision Annotation Tool (CVAT) alternativesComputer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms.
Computer Vision Annotation Tool (CVAT) VS Prodigy ML
Is this a good alternative to Prodigy ML?
1 like20 DINOv2 alternativesA family of foundation models producing universal features suitable for image-level visual tasks (image classification, instance retrieval, video understanding) as well as pixel-level visual tasks (depth estimation, semantic segmentation).
DINOv2 VS Prodigy ML
Is DINOv2 a good alternative to Prodigy ML?
2 likes25 HyperLabel alternativesA desktop application with a UX built for through-put, HyperLabel is a complete toolset for quality labeling process management and training data creation.
HyperLabel VS Prodigy ML
Is HyperLabel a good alternative to Prodigy ML?
1 like8 doccano alternativesdoccano is an open source text annotation tool for humans. It provides annotation features for text classification, sequence labeling and sequence to sequence tasks.
doccano VS Prodigy ML
Is doccano a good alternative to Prodigy ML?
1 like9 Training Mule alternativesTraining Mule allows you or your team to easily label images, providing you with the datasets that you require for the best results. With your images labelled, we will train the network of your choice and provide you with the model ready for use.
Training Mule VS Prodigy ML
Is Training Mule a good alternative to Prodigy ML?
1 like25 Supervisely alternativesSupervisely helps people with and without machine learning expertise to create state-of-the-art computer vision applications. We care about entire workflow from raw data to building and deploying neural networks for your special task without coding.
Supervisely VS Prodigy ML
Is Supervisely a good alternative to Prodigy ML?
1 like20 Appen alternativesAppen's enterprise crowdsourcing solutions offer a cost-conscious, elastic workforce which gives companies immediate, high-quality work.
Appen VS Prodigy ML
Is Appen a good alternative to Prodigy ML?
3 likes26 Label Box alternativesA complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
Label Box VS Prodigy ML
Is Label Box a good alternative to Prodigy ML?
1 like26 Segments.ai alternativesThe platform for computer vision experts to iterate more quickly between data labeling, model training and failure case discovery.
Segments.ai VS Prodigy ML
Is Segments.ai a good alternative to Prodigy ML?
Comments about UniversalDataTool as an Alternative to Prodigy ML
UniversalDataTool does not tokenize sentences as good as Prodigy ML. Subsequently, I can not correct NER offset values manually in the generated JSON file without having UniversalDataTool display an error, which completely breaks the annotation workflow.