Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3
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Gemini Analysis
Fleet-wide computer vision needs a model per camera, not one model for the whole fleet. This post presents a working Amazon SageMaker SDK v3 reference architecture that trains, quality-gates, compiles per-camera models with SageMaker Neo, and versions thousands of them, with an AWS Step Functions layer pacing fleet-scale retraining within account quotas.
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- Original reporting published by AWS Machine Learning Blog.
- Focuses on key developments in: Fleet-wide computer vision lifecycle at the edge with SageMaker SDK v3.
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