Key Resources for Building AI

Explore our most up-to-date resources, tackling the pros, pitfalls, and processes of building AI products.
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Guides

The Enterprise Guide to Building AI-Powered Products
Guide
The Enterprise Guide to Building AI-Powered Products
In this comprehensive guide, we break apart the process of building AI-powered enterprise products - and outline the tips, tricks, and trends for successful AI.
Training Data Ops Software: Build or Buy?
Guide
Training Data Ops Software: Build or Buy?
Should you build or buy your training data operations software? In this free guide, we dive into build vs. buy dilemma and explore the pros and cons of each approach.
Simplify Your Training Data Platform Buying Process
Guide
Simplify Your Training Data Platform Buying Process
Easily compare multiple vendors with a set of free worksheets and gain clarity on which training data platform is the best choice for your team.

Playbooks

Playbook
Impact of Large Language Models on Enterprise: Benefits, Risks & Tools
Discover how LLMs can impact your organization. We discuss how to automate customer service, conduct AI competitor analysis, or deploy autonomous agents within your business.
Playbook
Enhance Your ML Workflows with Logic Stage: Use Cases & Examples
Logic Stage in V7 can save time and significantly improve the quality of training data. Find out how this functionality solves real-life problems.
Playbook
How to Annotate Digital Pathology Images for AI
Are you a pathologist looking for ways to improve your annotation of tissue samples? This article provides best practices and tips to help you speed up the process. Learn how to label and organize datasets, use auto-annotation tools, and benefit from existing datasets for digital pathology tasks.
Playbook
The 5 Leading Causes of AI bias in Training Data
Let's go through 5 leading causes of errors, bias, and failure cases stemming from training data, observed across hundreds of V7 projects.
Playbook
How to Annotate Radiology Data for Machine Learning on V7
Find out how to label CT/MR scans, X-rays, and other modalities used in radiology. Learn how to use AI labeling tools for segmentation or lesion detection.
Playbook
5 Best Practices for Writing Annotation Guidelines
Find out how to write annotation guidelines for computer vision projects. Discover best practices for preparing clear data annotation instructions for your team.

Webinars

From Data to Diagnosis: Lessons in Building Trustworthy AI for Healthcare
webinars
From Data to Diagnosis: Lessons in Building Trustworthy AI for Healthcare
Hear from healthcare experts at AWS and Franklin.ai on how they're bypassing the biggest challenges in this sector to build best-in-class AI for healthcare.
Video Annotation Masterclass: Develop Commercial Al 10x Faster
webinars
Video Annotation Masterclass: Develop Commercial Al 10x Faster
Unlock the secrets to efficient video labeling. Cut down on annotation time without sacrificing accuracy and find out how to develop reliable AI models trained on videos.
Building & Scaling ML Solutions for Big Box Retail
webinars
Building & Scaling ML Solutions for Big Box Retail
Join our webinar on building ML solutions for retail to learn how to leverage AI for operational efficiency, with expert insights on autonomous checkout, stock management, and training data for machine learning models in retail.

Product Updates

V7 Go Update: Visualize AI citations and information sources in PDFs
product update
Update
V7 Go Update: Visualize AI citations and information sources in PDFs
A strategic shift towards more transparent, accurate, and reliable AI. See exactly where your AI models draw their conclusions and reasoning from.
July 15, 2024
5
mins read
See more->
Introducing Auto-Track: Seamless Object Segmentation in Videos
product update
Update
Introducing Auto-Track: Seamless Object Segmentation in Videos
Explore V7’s Auto-Track feature for faster video annotation. Use automated instance segmentation and object tracking across frames to reduce delivery times for video labeling projects.
February 22, 2024
10
mins read
See more->
New Enhancements for Medical Image Segmentation in V7
product update
Update
New Enhancements for Medical Image Segmentation in V7
Discover how V7's new features for medical image segmentation can transform your radiology projects with advanced 3D visualization, custom layouts, improved segmentation models, and more.
February 22, 2024
10
mins read
See more->
V7 Introduces Multi/Single Select Properties
product update
Update
V7 Introduces Multi/Single Select Properties
With customizable properties like Multi Select and Single Select, users can now enrich their datasets with detailed classifications. This update facilitates better dataset management, scalability, and adaptability, as well as training more accurate models.
December 13, 2023
10
mins read
See more->

Webinars

From Data to Diagnosis: Lessons in Building Trustworthy AI for Healthcare
webinars
From Data to Diagnosis: Lessons in Building Trustworthy AI for Healthcare
Hear from healthcare experts at AWS and Franklin.ai on how they're bypassing the biggest challenges in this sector to build best-in-class AI for healthcare.
Video Annotation Masterclass: Develop Commercial Al 10x Faster
webinars
Video Annotation Masterclass: Develop Commercial Al 10x Faster
Unlock the secrets to efficient video labeling. Cut down on annotation time without sacrificing accuracy and find out how to develop reliable AI models trained on videos.
Building & Scaling ML Solutions for Big Box Retail
webinars
Building & Scaling ML Solutions for Big Box Retail
Join our webinar on building ML solutions for retail to learn how to leverage AI for operational efficiency, with expert insights on autonomous checkout, stock management, and training data for machine learning models in retail.
Beyond Baseline Accuracy: Developing Industry-Ready LLMs
webinars
Beyond Baseline Accuracy: Developing Industry-Ready LLMs
Expert panel discussion covering the future of AI safety, prompt engineering, and emerging tools for enhancing Foundation Models accuracy.
What's Next for Large Language Models
webinars
What's Next for Large Language Models
Join us for a compelling fireside chat that will delve into the horizon for Large Language Model capabilities and tooling.
Accelerating AI Product Development in Digital Pathology with Advanced Workflows
webinars
Accelerating AI Product Development in Digital Pathology with Advanced Workflows
Explore how to streamline the development of AI medical models using advanced workflows and automated QA.
Optimize Your Training Data Pipeline for Accuracy and Speed
webinars
Optimize Your Training Data Pipeline for Accuracy and Speed
A live demo of how teams can leverage tools available to them to accelerate and automate the labelling process.

Guides

The Enterprise Guide to Building AI-Powered Products
Guide
The Enterprise Guide to Building AI-Powered Products
In this comprehensive guide, we break apart the process of building AI-powered enterprise products - and outline the tips, tricks, and trends for successful AI.
Training Data Ops Software: Build or Buy?
Guide
Training Data Ops Software: Build or Buy?
Should you build or buy your training data operations software? In this free guide, we dive into build vs. buy dilemma and explore the pros and cons of each approach.
Simplify Your Training Data Platform Buying Process
Guide
Simplify Your Training Data Platform Buying Process
Easily compare multiple vendors with a set of free worksheets and gain clarity on which training data platform is the best choice for your team.

Case Studies

Case study
Scaling Leading Automotive AI Model Development with End-to-End Data Annotation
“We tried multiple other annotation providers, but none matched the accuracy and time savings of V7 and DDD working together.”
Case study
How Raptor Maps Uses V7 to Reduce Time-to-Model by 83%
"Building that first cycle of a machine learning loop used to take us around 1 year. After adopting V7 and improving our tooling, we reduced the time to 1 month—and we’re working to make it even faster."
Case study
How Vivan Therapeutics Uses V7 to Provide Drug Screens to Cancer Patients Faster
"The V7 platform is very user-friendly, especially the easy-to-use workflows and semi-automated labeling features. I’ve also enjoyed the relationship and feedback cycle with the V7 labeling team who works with us."
Case study
How Yembo Transforms the Home Services Industry with AI-Powered Virtual Surveys
“V7 made it possible to build a dataset we couldn't build before—fast. It’s been a real level change.”
Case study
How Velmeni Uses V7 to Aid Dental Pathology Detection
“I have worked with 600+ vendors in my life. I always look at good technology, stable company, good people, and how much a vendor is invested in your success. I found all of those things with V7.”
Case study
How Safari AI Improved Model Accuracy and Reduced Time to Delivery by 50% with V7
"We are leveraging V7’s model-assisted labeling in our workflows, which helps us decrease the cost per image labeled and cuts in half the time to delivery."
Case study
How InformAI used V7 to build an organ volume estimation model achieving 97% accuracy
"The S3 integration for external storage was a must-have to protect the privileged clinical data. Based on our research, V7 was the only labeling platform that offered that along with browser access and DICOM functionality."
Case study
How IMIDEX uses V7 to Detect Pulmonary Nodules, Indicative of Lung Cancer
"We conducted an extensive research of annotation tools and ultimately chose V7 as it fits our needs best due to its customizable workflows, simple setup, consensus stages, and the ability to monitor annotator performance and project progress."
Case study
How MTC is Using V7 to Build AI for Sorting and Segregating Nuclear Waste
“V7 sped up our labeling 9–10x. The appeal of using V7 is that it’s commercial off-the-shelf, very intuitive, and easy to use for non-technical people involved in our project."
Case study
How Abyss Uses V7 to Advance Critical Infrastructure Inspections
"We label terabytes of data per platform across thousands of platforms. From the operations perspective—unless we did drastic developments, the scale of the projects requires a tool like V7 to succeed"
Case study
How Genmab Uses V7 to Speed Up Tumor Detection in Digital Pathology Images
"We use V7 for digital pathology image annotation - it streamlines the process so that we can get the data in the easy-to-parse format for ML purposes."
Case study
How Intelligent Ultrasound used V7 to Double the Speed of their Training Data Pipelines
“Thanks to V7, the image annotation is 30% faster, and considering the whole process - transferring files and QA - we more than doubled the number of images we can label in the same span of time.”
Case study
How Miovision is Using V7 to Build Smart Cities
"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."
Case study
How University of Lincoln Used V7 to Achieve 95% AI Model Accuracy
"We needed a tool that could do annotating and data versioning because we distribute our tools to farms, and we need to make sure that they have the same version of data for the same models."
Case study
How CattleEye Uses V7 to Develop AI Models 10x Faster
"V7 is really easy to use and has great customer support—bugs are fixed, email support is very fast, and feature requests are delivered as promised."

Product Updates

V7 Go Update: Visualize AI citations and information sources in PDFs
product update
Update
V7 Go Update: Visualize AI citations and information sources in PDFs
A strategic shift towards more transparent, accurate, and reliable AI. See exactly where your AI models draw their conclusions and reasoning from.
July 15, 2024
5
mins read
See more->
Introducing Auto-Track: Seamless Object Segmentation in Videos
product update
Update
Introducing Auto-Track: Seamless Object Segmentation in Videos
Explore V7’s Auto-Track feature for faster video annotation. Use automated instance segmentation and object tracking across frames to reduce delivery times for video labeling projects.
February 22, 2024
10
mins read
See more->
New Enhancements for Medical Image Segmentation in V7
product update
Update
New Enhancements for Medical Image Segmentation in V7
Discover how V7's new features for medical image segmentation can transform your radiology projects with advanced 3D visualization, custom layouts, improved segmentation models, and more.
February 22, 2024
10
mins read
See more->
V7 Introduces Multi/Single Select Properties
product update
Update
V7 Introduces Multi/Single Select Properties
With customizable properties like Multi Select and Single Select, users can now enrich their datasets with detailed classifications. This update facilitates better dataset management, scalability, and adaptability, as well as training more accurate models.
December 13, 2023
10
mins read
See more->
Introducing Advanced Dataset Filters in V7
product update
Update
Introducing Advanced Dataset Filters in V7
Optimize your training data management and annotation workflow with V7's advanced dataset filters. Identify critical data points with filters based on users, status, properties, or classes.
December 13, 2023
7
mins read
See more->
Enhanced Reporting in V7: Get Quality Insights Into Your Team’s Efficiency
product update
Update
Enhanced Reporting in V7: Get Quality Insights Into Your Team’s Efficiency
Track, analyze, and optimize your data annotation workflows with ease. Explore new reporting features available in V7 for a deeper understanding of your datasets and labeling process.
November 20, 2023
8
mins read
See more->
Launching Video Annotation for 100K Frames and Beyond
product update
Update
Launching Video Annotation for 100K Frames and Beyond
V7 can now handle video files that are 10x longer, and with 700x more annotations! We've updated our annotation interface and backend video processing to make working with video datasets more intuitive, faster, and flexible.
October 24, 2023
8
mins read
See more->
Hugging Face Integration: Easier Way to Use External Models
product update
Update
Hugging Face Integration: Easier Way to Use External Models
Learn how to incorporate Hugging Face models into your V7 data annotation projects. Discover a wide array of models that will help you save costs and build better AI.
September 20, 2023
5
mins read
See more->
Multi-Planar Annotations: Explore 3D Voxel Masks
product update
Update
Multi-Planar Annotations: Explore 3D Voxel Masks
V7 now allows you to seamlessly integrate volumetric masks, enabling detailed 3D reconstructions of regions of interest. With the capability to adjust voxels from any perspective, you can achieve unmatched consistency and precision in your annotations.
September 20, 2023
6
mins read
See more->
Introducing Semantic Segmentation with V7 Masks
product update
Update
Introducing Semantic Segmentation with V7 Masks
Unlock the potential of masks in V7 to achieve precise pixel-level labeling and semantic segmentation. Find out to increase annotation accuracy and simplify the editing process.
August 16, 2023
6
mins read
See more->
Introducing SSC (Stage-Specific Classes)
product update
Update
Introducing SSC (Stage-Specific Classes)
Streamline your annotation process and enhance customization with stage-specific classes. Assign classes and annotators to individual stages, providing greater control and simplifying the annotation experience.
June 22, 2023
4
mins read
See more->
Introducing BYOM UI
product update
Update
Introducing BYOM UI
Do you want to connect V7 with your own models or use third-party AI solutions? With our latest update, you can easily register and configure external models.
June 19, 2023
4
mins read
See more->
ALR: Work with Dense Annotations Effortlessly
product update
Update
ALR: Work with Dense Annotations Effortlessly
Up to 17x speed improvement in Annotation Action with Accelerated Label Rendering (ALR). Check it out.
June 2, 2023
5
mins read
See more->
Enhanced V7 Auto-Annotate Powered by SAM
product update
Update
Enhanced V7 Auto-Annotate Powered by SAM
Discover the updated V7 Auto-Annotate tool powered by Segment Anything (SAM). Learn how the new SAM engine can enhance your ML training data and solve segmentation tasks.
May 11, 2023
4
mins read
See more->
Create Classes and Sub-Annotations in One-Click
product update
Update
Create Classes and Sub-Annotations in One-Click
Create, edit, search, and map classes within your datasets from a single page and get full visibility over your data.
May 10, 2023
3
mins read
See more->
Streamline Collaboration with Comment Tool 2.0
product update
Update
Streamline Collaboration with Comment Tool 2.0
Collaborate & spot errors efficiently with Comment Tool 2.0. Resolve disagreements faster with the Issues Tab, and use the chat widget to communicate with your team in real-time.
April 28, 2023
1
mins read
See more->
Build Custom Automations With the Webhook Stage
product update
Update
Build Custom Automations With the Webhook Stage
Explore the Webhook Stage for seamless integration between applications in V7. Learn what webhooks are and how they can enhance your custom ML workflows.
April 12, 2023
7
mins read
See more->
Improve Training Data Quality With the Logic Stage
product update
Update
Improve Training Data Quality With the Logic Stage
Get an in-depth understanding of Logic Stages. Learn how to use the Logic Stage module to identify undesirable data points and accelerate the development of your AI models.
April 3, 2023
5
mins read
See more->
New Sampling Stage for Faster Quality Assurance
product update
Update
New Sampling Stage for Faster Quality Assurance
Discover how to effectively utilize the Sampling Stage for quality assurance of your datasets. Uncover the optimal use cases for streamlining workflows and accelerating review processes.
April 2, 2023
6
mins read
See more->
Introducing the Consensus Stage for Improved QA
product update
Update
Introducing the Consensus Stage for Improved QA
This stage helps users ensure accuracy, consistency, and quality of annotated datasets while minimizing manual review time. It also allows for comparison of model and human performance.
March 26, 2023
8
mins read
See more->
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