Datature

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Datature simplifies building computer vision applications with easy dataset management, flexible annotation, and seamless model deployment.

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What is Datature?

Datature is a platform designed to simplify the process of building computer vision applications for teams and enterprises. It offers features such as efficient dataset management, flexible annotation tools, training models with customizable algorithms, automated hyperparameter optimization, and seamless deployment options. Datature also provides collaborative capabilities, allowing team members to work together on projects and track version history, boosting productivity and teamwork.

The platform allows users to manage datasets, annotate data, train models, and deploy applications without the need for writing complex code. Datature is particularly praised for its speed, streamlined workflow, and user-friendly interface that caters to the needs of both small teams and large enterprises. It offers collaborative features, powerful tools for managing datasets, training models, and deployment on various platforms. Datature empowers users to efficiently develop and deploy cutting-edge computer vision solutions without extensive coding expertise.

In addition, Datature provides academia and research institutes with product credits to develop on the platform, offers various plans with different features such as annotation automation, model training workflow recommender, and technical support channel. The platform is lauded for its ability to shorten time-to-market, optimize workflows, and enhance productivity at every phase of the computer vision pipeline. Datature is used globally and has been positively reviewed by lead AI engineers and CEOs for its effectiveness in scaling AI efforts, rapid model performance feedback, and user-friendly interface that expedites the building of computer vision models.

Who created Datature?

Datature was co-founded by David Nguyen, PhD, who also serves as the CEO of BrainScanology and is mentioned as one of the co-founders in the company details. David Nguyen's background includes a Ph.D., and he has been involved in the development of Datature's platform for segmenting complex shapes in medical images with high accuracy and rapidity. The company, with a focus on AI and computer vision solutions, offers tools for efficient model training, dataset management, and deployment, catering to various industries such as manufacturing, utilities, agriculture, construction, smart cities, retail, pharmaceuticals, and healthcare.

What is Datature used for?

Pest Detection in Agriculture
Robotics Line Processing in Manufacturing
Inventory Management in Retail and E-Commerce
City Surveillance in Smart Cities
Life Stock Monitoring in Agriculture
Automated Checkout in Retail and E-Commerce
Digital Pathology in Pharmaceutical & Healthcare
Harvest Optimization in Agriculture
Occupancy Management in Smart Cities
Wafer Defect Detection in Manufacturing
Harvest Optimisation in Agriculture

Who is Datature for?

Agriculture
Manufacturing
Retail and e-commerce
Smart Cities
Pharmaceutical & Healthcare
Utilities & Energy
Powerful Developer Tools
Construction
Utilities and Energy
Smart City

How to use Datature?

To use Datature, follow these steps:

Starting with Datature: Datature is a platform simplifying computer vision application development for teams and enterprises. It efficiently manages datasets, annotates data, trains models, and deploys applications without the need for complex coding.
Dataset Management: Easily import, organize, and preprocess your data. The platform offers flexible annotation tools to label and annotate images or videos seamlessly.
Training Models: Datature provides customizable algorithms for training models on annotated datasets. It offers automated hyperparameter optimization for optimal performance.
Model Deployment: Deploy computer vision applications on various platforms like cloud environments or edge devices. Tailor deployment strategies according to your needs.
Collaboration: Datature promotes teamwork by allowing team members to collaborate on projects, share annotations and models, and track version history.
Additional Features: Datature offers advanced features like auto-scaling, load balancing, region selection, and developer-friendly tools with powerful APIs and SDKs.
Payment and Support: Payment methods include credit/debit cards and wire transfers. Specific feature requests can be made, and plan changes can be managed by contacting Datature.
Learning More: Explore the documentation, schedule a demo, or visit the Datature blog for in-depth information and insights on product features and use cases.

By following these steps, you can effectively utilize Datature's capabilities for your computer vision projects.

Pros

Effortless Dataset Management - quickly manage and annotate images, video, and annotation data by drag-and-drop or automatic upload via API
User-friendly interface and powerful tools for efficient development and deployment of computer vision applications
Model Training and Secure Pipeline in 2-3 Hours
Scalable Plans that Scale as You Go. Starting from $0
Catch Label Errors Instantly and Run GPU Training with 0 Errors
Secure End-to-End Workflow with 0 Data Transfers
Future-Proofed with Weekly Feature Updates from Datature
HIPAA and SOCII Secured Environment on Datature Cloud
Collaborative Features and Big-Picture view on Datature to Improve Completion
Shorten time-to-market with comprehensive features at every phase of the computer vision pipeline, optimizing workflows and greatly enhancing productivity
Collaborative capabilities for team members to work together on projects and share annotations/models
Enhance Quality and Efficiency - build specific workflows to manage each step of the annotation pipeline to increase security, labeling, and review throughput
Label Data Faster with AI or External Labeller - experience 10x faster and more precise image and video annotations
Rapid Experiment to Production - effortlessly experiment, fine-tune inputs, and manage multi-GPU training
Custom Training Workflow - set up model training strategies through an intuitive visual workflow

Cons

Average internally built solution
6-12 Months to Build Custom Data and Training Pipeline
$350k in Combined Salary for a Team
37% More Errors in Data Labelling and 2x More Wasted GPU Resources
23% of Time Wasted on Multiple Redundant Data Transfers
Time Spent on Updating Tools to Latest Methods and Research
11% of Internal Tools Experience Data Breaches or Leaks at Some Point
Tool Created and Used by a Few Engineers

Pros

Cons

Effortless Dataset Management - quickly manage and annotate images, video, and annotation data by drag-and-drop or automatic upload via API
User-friendly interface and powerful tools for efficient development and deployment of computer vision applications
Model Training and Secure Pipeline in 2-3 Hours
Scalable Plans that Scale as You Go. Starting from $0
Catch Label Errors Instantly and Run GPU Training with 0 Errors
Secure End-to-End Workflow with 0 Data Transfers
Future-Proofed with Weekly Feature Updates from Datature
HIPAA and SOCII Secured Environment on Datature Cloud
Collaborative Features and Big-Picture view on Datature to Improve Completion
Shorten time-to-market with comprehensive features at every phase of the computer vision pipeline, optimizing workflows and greatly enhancing productivity
Collaborative capabilities for team members to work together on projects and share annotations/models
Enhance Quality and Efficiency - build specific workflows to manage each step of the annotation pipeline to increase security, labeling, and review throughput
Label Data Faster with AI or External Labeller - experience 10x faster and more precise image and video annotations
Rapid Experiment to Production - effortlessly experiment, fine-tune inputs, and manage multi-GPU training
Custom Training Workflow - set up model training strategies through an intuitive visual workflow

Average internally built solution
6-12 Months to Build Custom Data and Training Pipeline
$350k in Combined Salary for a Team
37% More Errors in Data Labelling and 2x More Wasted GPU Resources
23% of Time Wasted on Multiple Redundant Data Transfers
Time Spent on Updating Tools to Latest Methods and Research
11% of Internal Tools Experience Data Breaches or Leaks at Some Point
Tool Created and Used by a Few Engineers

Datature FAQs

Do you offer monthly plans?: Yes, we offer monthly plans for the Developer Tier. For payment options for the Professional and Enterprise plans, please contact us. We might be able to accept monthly payments to help our customers improve cash flow on a case-to-case basis.

Do you have a free trial for the Professional Tier?: Yes, we have a 14-day free trial of all the platform features under a Production Pilot Plan. Please contact us here for more information.

What Type of Data and Model Do You Support?: We support Images (PNG/JPG), Videos (MP4), DICOM/NIFTI, and Point-Cloud (Coming Soon). For models, we support Classifications, Object Detection, Semantic / Instance Segmentation, and Pose-Estimation modalities.

How can I automatically label my dataset with an AI model?: You can automatically label your dataset with AI-assisted labelling available from the Professional Plan onwards. Please read the details here, or schedule a demo.

How many projects can I create on Datature?: Unlimited. You can have an unlimited number of projects in a workspace as long as the total number of assets does not exceed your quota. Our users have anywhere from 2 to 30+ projects depending on their use cases.

What if I run out of quota?: Your projects will be temporarily frozen so you can either upgrade to another plan or to reduce your consumption.

How secure is your platform?: Datature is certified HIPAA and SOC Type II. We use state-of-the-art practices such as SignedURLs for controlled access, reducing unauthorized entry and security risks.

How can I invite collaborators to my project?: Collaborator access is available from the Professional Plan and beyond. Refer to the steps provided. To upgrade from the Free and Developer tiers, you can do so on the platform. Utilizing Datature Experts won’t use collaborator credits.