If you need a tool to automate image and video labeling so you can get products to market faster, V7 is a great choice. The platform has a lot of features, including Auto-Annotate, Custom Data Workflows and Advanced Image Manipulation, that can dramatically reduce labeling costs and automate work up to 90%. It can handle a broad range of data formats and integrates with common tools, so it's a good fit for industries like Healthcare and Finance.
Another contender is Encord, a full-stack data development platform for building predictive and generative computer vision applications. It has tools for automated labeling, data curation and model performance evaluation. With features like Annotate for automated labeling and Active for model monitoring, Encord helps you keep the workflow smooth and training data quality high, speeding up your AI development cycle.
You could also look at Roboflow, an all-in-one training and deployment platform for computer vision models. It's got AI-assisted labeling tools and an auto-annotate API for rapid annotation. Roboflow integrates with frameworks like TensorFlow and PyTorch and cloud services like AWS and Azure, so it's good for developers and companies that want to get their computer vision work done without a lot of fuss.
Last, Label Studio is an open-source data labeling tool that works with images, audio, text, time series and video. It's got customizable layouts, ML-assisted labeling and integration with cloud storage systems. It's free and widely used by data scientists and companies, so you can tap into a large community and support resources.