Roboflow
Low Code/No Code
Maximize Your Reach: Unleashing the Potential of Promote Your Tool
- Datasets: You can upload images and video from your own buckets in 40+ annotation and image formats via API. You can also filter, tag, segment, preprocess, and augment image data by metadata, train/test split, or location of image. You can track multiple versions of datasets for experimentation and use text-based semantic search and CLIP vectors to find similar data and anomalies.
- Labeling: You can use AI-assisted labeling for bounding boxes, polygons, and instance segmentation. You can also automatically annotate images using an existing model or pre-trained models that detect common objects in your dataset. You can use fast labeling workflows like keyboard shortcuts, intelligent defaults, and integrated label creation to annotate hundreds of images in minutes.
- Models: You can train state-of-the-art computer vision models using TensorFlow, PyTorch, Keras, Hugging Face, and other frameworks. You can also use notebooks to access a collection of open source Jupyter notebooks that show how to train and work with the latest computer vision models. You can use supervision to access a range of utilities that help integrate computer vision into your application, covering functions from annotation to object tracking.
- Deployment: You can deploy your computer vision models to various environments such as NVIDIA Jetson, Raspberry Pi, SageMaker, Azure, NVIDIA TRT, Kubernetes, Luxonis OAK, etc. You can also use inference APIs to run predictions on new images or video streams.
Roboflow is used by over 250,000 engineers to create datasets, train models, and deploy to production. It is also used by various industries such as security, banking, retail, automotive, aerospace & defense, government, oil & gas, agriculture, manufacturing, telecommunications, healthcare, utilities, etc.
Roboflow offers different pricing plans for different needs. For individuals with personal projects, school assignments, or research projects, Roboflow offers the Public plan to encourage exploration of computer vision. All projects on the Public plan are shared on Roboflow Universe. For businesses, Roboflow offers the Starter and Enterprise plans. The Starter plan is suitable for small teams that need basic features and support. The Enterprise plan is suitable for large teams that need advanced features and support.
Roboflow is a platform that gives your software the power to see objects in images and video. It helps you build and deploy computer vision models faster and easier.
Pros
- Roboflow provides a comprehensive platform for building and deploying computer vision models with various tools and frameworks.
- Roboflow offers AI-assisted labeling for bounding boxes, polygons, and instance segmentation with fast and accurate workflows.
- Roboflow supports real-time teamwork and secure role-based access for annotation projects.
- Roboflow has enterprise-grade infrastructure and compliance with SOC2 Type 1 certification and PCI compliance.
- Roboflow has a free public plan for individuals with personal projects, school assignments, or research projects.
Cons
- Roboflow may not support all the annotation and image formats that users need for their datasets.
- Roboflow may not have pre-trained models for all the common objects that users want to detect in their images.
- Roboflow may not integrate with all the inference and deployment environments that users prefer for their models.
- Roboflow may not have enough documentation and tutorials for beginners to learn computer vision concepts and techniques.
- Roboflow may not have a flexible pricing plan for businesses with different needs and budgets.