Clarifai Alternative: How to Migrate Your Dataset to Roboflow Clarifai, recently acquired by Nebius, now offers a migration path for users to transfer their datasets to Roboflow, a computer vision platform used by over 1 million developers. The process involves exporting data from Clarifai in protobuf format, converting it to COCO JSON, and importing it into Roboflow for continued model development. Roboflow provides purpose-built annotation tools, dataset versioning, and optimized training pipelines to help teams build custom vision models without platform lock-in. Clarifai was recently aqcuired by Nebius. Learn how to export your Clarifai dataset and migrate it to Roboflow in a few steps. Roboflow is built exclusively for computer vision and empowers you to build custom models. This guide walks you through migrating your dataset from Clarifai https://roboflow.com/comparison/clarifai?ref=blog.roboflow.com to Roboflow, exporting in COCO format, importing into a Roboflow project, and picking up where you left off with purpose-built annotation tools, dataset versioning, and a training pipeline optimized for vision tasks. Over 1 Million Developers Build with Roboflow Roboflow's end-to-end vision AI platform makes it easy to build, train, and deploy custom computer vision models, even if you're not a machine learning expert. Here's what you can expect. Fast Deployment Roboflow's deployment pipeline offers a highly specialized, frictionless path from custom model training to live inference https://inference.roboflow.com/?ref=blog.roboflow.com , particularly for edge https://roboflow.com/ai/edge?ref=blog.roboflow.com environments. Easily deploy your own proprietary vision models using the open-source Roboflow Inference engine, which natively handles hardware optimization via TensorRT , multi-stream video, and preprocessing across cloud, on-premise, and edge devices such as NVIDIA Jetsons. Easy Drag-to Connect Workflows Roboflow's Workflows https://roboflow.com/workflows/build?ref=blog.roboflow.com allows teams to intuitively chain https://blog.roboflow.com/launch-workflows-builder-2-0/ multiple vision models - such as detection, classification, and OCR https://roboflow.com/ocr?ref=blog.roboflow.com - into a single production pipeline without writing complex code, enabling sub-10ms offline latency and a continuous learning loop. Purpose-Built Annotation Tools Roboflow offers model-assisted labeling to speed up annotation tasks and annotation heatmap visualization to better understand data distributions. Features such as Smart Polygon https://docs.roboflow.com/annotate/ai-labeling/enhanced-smart-polygon-with-sam?ref=blog.roboflow.com let you annotate with a single click, and you can tap into 100,000+ pre-trained models from Roboflow Universe https://universe.roboflow.com/?ref=blog.roboflow.com as a starting point or training checkpoint for your own project. Dataset Versioning and Flexibility Every dataset change in Roboflow is versioned, so you can reproduce any experiment and roll back to any previous state. Export your data in any format, COCO JSON, YOLO, Pascal VOC, with no platform lock-in, and deploy to cloud and edge devices https://roboflow.com/deploy?ref=blog.roboflow.com such as NVIDIA Jetson or mobile for real-time inference. Models That Improve Themselves Roboflow's active learning feature https://blog.roboflow.com/active-learning-workflow/ captures low-confidence predictions from your deployed model and surfaces them for review, improving model performance over time. Your models get smarter by continuously learning from production data, creating a feedback loop between deployment and training. How to Move From Clarifai to Roboflow To migrate your dataset, you will export it from Clarifai in protobuf format, convert it to COCO, and upload the result to Roboflow. The script below handles the download, extraction, and conversion in one run. Prerequisites Before running the script, have the following ready from your Clarifai account: -