Currently, in preview, Vertex AI Vision is an extension of AutoML Vision that can train models to perform image classification and object detection.
Vertex AI Vision has multiple pre-trained models that can be quickly integrated into the pipeline. The occupancy analytics model lets users count people or vehicles given specific inputs added in video frames. The Person blur model protects the privacy of people who appear in input videos through distortion, such as masking or blurring people's appearance in output videos. The person/vehicle detector model can detect and count people or vehicles in video frames.
Apart from the pre-trained models, customers can import existing models trained within the Vertex AI platform. This extends the functionality by mixing and matching various models. The new platform is based on Google's responsible AI principles of fairness, safety, privacy and security, inclusiveness, and transparency. Google claims that the new Vision AI Vision platform will cost only one-tenth of the currency offerings. While in preview, the pricing details are not disclosed yet. The service is available only in the us-central1 region.
In its current form, Vertex AI Vision is not integrated with Anthos and cannot be run in a hybrid mode within the data center or at the edge. Customers are expected to ingest video streams to Google Cloud to run the inference pipeline. Industry verticals such as healthcare and automotive demanding high throughput and low latency cannot take advantage of Vertex AI Vision. Google must consider deploying the Vision AI applications at the edge with the output stored within a local warehouse.
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