Run our Python library or use the CLI to establish workflows, monitor progress, assign tasks, priorities, and receive completed items based on your SLAs.
Assign tasks, monitor progress, and communicate with your team in real-time. Our platform offers an integrated approach to version control, allowing you to create data-driven model experiments and optimize them as you scale.
Filter your training data to create sets or versions for experiments. Scale up to billions of labels without ever slowing down.
Assign tasks to hundreds of labelers by priority, objects detected, or manually. Track the progress and solve issues by communicating in real-time.
Create versions of all exports for data-driven model experiments. Sync dataset versions with models—iterate and optimize as you scale.
Our dataset management platform supports JPG, PNG, TIF, MP4, MOV, SVS, DICOM, NIfTI and counting.
Image status dynamically changes as your project advances, allowing you to train models on completed sections at any time.
Take a glance at your dataset's composition. Troubleshoot your model's performance by taking a look at class representation and instance frequency.
Whether it’s a collection of images, multiple camera video angles, a picture and text combo, or medical protocols, you can format items to fit your tasks and schema.
Send tasks to other ML-Ops platforms, host data privately in your enterprise cloud storage, and load datasets into your deep learning framework of choice. Unleash the potential of your project with a thriving ecosystem at your disposal.
Yes, V7 offers a free trial version that allows you to test its features and capabilities before making a purchase. However, to unlock all the functionalities and all the potential that the platform offers, it is worth considering one of the paid plans. You can see the full feature breakdown and pricing of V7 here.
The V7 platform allows you to bring your own custom models, hosted on your own infrastructure. You can use them alongside the models trained using V7's own neural networks. The minimal requirements for the custom models are that they must be exposed via HTTP and make predictions in the form of JSON.
V7 supports image, video, and text data. The file formats you can use with V7 include: JPG, PNG, MP4, MOV, AVI, BMP, SVS, TIFF, DCM, ZIP, DICOM, NIfTI.
V7 offers three pricing plans: Team, Business, and Pro. The team plan starts at $5,000/year. For detailed pricing and feature overview see the V7 pricing page.
V7 was built for multi-industry use cases and you can get in touch with us to discuss your project in more detail. Also, take a look at V7 industry pages to learn more about the benefits and to see various implementations.
Yes. V7 works with a trusted network of partners and professional annotators who will help you turn your data into ground truth. Go to V7 Labeling Services to submit the form and we will send you a proposal within hours.
V7 allows you to train three types of models: Instance Segmentation, Image Classification, and Object Detection. You can also use our in-built Text Scanner model for your OCR projects. Learn how to train neural networks here: V7 Model Training.
We offer in-app chat support and email technical support to all of V7 users. We will make sure to take good care of you and your team. You can get in touch with us at: support@v7labs.com.
Yes your data is secure with V7. We take data security very seriously. Go to V7 Data Processing & Security to learn more about how we keep your data safe.