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#2 Roboflow
End‑to‑end platform for building, training, and deploying computer‑vision models with dataset versioning, annotation tools, and API hosting.
Managed service for training custom image classification and object detection models using AutoML or custom TensorFlow pipelines.
No‑code UI to train, evaluate, and export image classification or object detection models, with easy integration into Azure services.
Fully managed data labeling, model training, and deployment for computer‑vision workloads on AWS, with built‑in AutoML.
#6 Clarifai
AI platform offering pre‑built visual recognition models, custom training, and workflow orchestration via REST APIs.
Automated machine‑learning suite that includes computer‑vision capabilities, model interpretability, and deployment to cloud or edge.
#8 DataRobot
Enterprise AI platform with AutoML for image classification, object detection, and model monitoring across the lifecycle.
#9 Edge Impulse
Focused on edge AI, it provides data collection, model training, and deployment for embedded vision applications.
#10 Lobe
Microsoft‑backed, drag‑and‑drop tool for creating custom image classification models without code, exportable to various runtimes.
#11 DeepVision
No‑code platform for building, training, and deploying vision models with built‑in data labeling and model versioning.
#12 Sighthound
Computer‑vision SDK and cloud service for object detection, face recognition, and activity analysis, optimized for real‑time edge use.
#13 Anyline
Mobile‑first OCR and visual recognition SDK that lets developers embed scanning and detection capabilities into apps.
Industrial vision platform offering model training, edge deployment, and integration with PLCs and robotics.
#15 Deepomatic
Visual AI platform for building custom detection models and deploying them on cloud, on‑prem, or edge devices.
Free, open‑source version of Viso Suite that provides the same no‑code UI for model creation and edge deployment.
#17 Scale AI
Data‑labeling and model‑training platform with specialized pipelines for computer‑vision datasets and quality assurance.
#18 SuperAnnotate
Annotation suite with AI‑assisted labeling, model training, and model‑in‑the‑loop evaluation for vision projects.
#19 Kili Technology
Collaborative data labeling platform with built‑in model training loops for image and video datasets.
#20 Algorithmia
Marketplace and MLOps platform that hosts vision models, provides API endpoints, and handles scaling and monitoring.
#21 Seldon Deploy
Open‑source MLOps framework for deploying, scaling, and monitoring computer‑vision models in Kubernetes environments.