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Streamline computer vision model development from annotation to deployment

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50/100
Speed up image labeling with smart tools and external labellers
Train models like YOLOv8 with click-based workflows
Deploy models as APIs with auto-scaling and security
Version control & search for 2D/3D visual data
Python SDK and CLI for custom integrations
N/A
No
Not Available
300 images, 300 GPU training minutes, and basic support for model development
Ultralytics YOLOv8 and other industry-tested architectures
Yes – supports TensorFlow, ONNX, PyTorch, and other formats
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