Roboflow is a platform that provides tools and services for managing and deploying computer vision models. It allows users to annotate and preprocess image data, train machine learning models, and deploy those models to production.
Key features of Roboflow include:
Data Annotation: Roboflow facilitates the annotation of images for computer vision tasks. This includes tasks such as object detection, image segmentation, and classification.
Data Preprocessing: The platform offers tools for preprocessing and augmenting image data. This is crucial for enhancing the performance and robustness of machine learning models.
Model Training: Roboflow supports the training of machine learning models on annotated and preprocessed data. It may integrate with popular deep learning frameworks like TensorFlow and PyTorch.
Model Deployment: Once a model is trained, Roboflow provides options for deploying it to different environments, such as cloud servers or edge devices.
Integration with Existing Workflows: Roboflow aims to integrate seamlessly with existing workflows and tools used in the machine learning and computer vision development process.
Roboflow empowers developers to build their own computer vision applications and streamlines the process between labeling your data and training your model.
Give your software the power to see objects in images
Automated Labeling Powered by Segment Anything (SAM)
AI-assisted labeling for bounding boxes, polygons, and instance segmentation built for teams to work together securely in real-time
Train on our hosted GPUs to save time and money
Our one-click training solution will give you a state of the art model, hosted at an API endpoint, customized for your dataset, in no time.
Tools to improve custom computer vision models
Build custom models for object detection, image classification, instance and semantic segmentation, single and multi-label classification.
Test your model in the browser before deploying to production and see performance on real data.
Manage model versions to compare performance across multiple iterations.
Monitor metrics on mean average precision, recall, and more.