The similarity search is run against all points in a job by default. This can be changed by running a search on a filtered search space based on the catalog filter options in the Search Space drop-down, or by

Data Explorer enables you to enrich your data with metadata, referred to as the catalog. The catalog can be imported into the dataset in the following ways. Connect to an SQL-based catalog store, such as MySQL, SQL Server, PostgreSQL

ingestion policy is set to Schedule/On-demand, the selected pipeline attachments cannot be changed to 'Manual adectl run' and vice-versa. Review and accept the license terms and conditions. On successful registration of the dataset, the following popup is

Saving a search A search query can be saved using the 'Save' operation, as shown below. Please note that only the search set (query images) is saved, and this operation does not save the results. Saving a search with a

This article describes the process for detecting anomalies using good image samples and, optionally, defect image samples. The output includes segmented regions that accurately identify and localize the anomalies. Refer to the following video to create an anomaly segmentation model

Providing inputs is a critical phase in the synthesis process to ensure the accuracy of the Dataset being created. In this phase, you can provide inputs about the concept to be synthesized and run a preview session. Refer to the

Analyze job allows model performance analysis by comparing the ground truth and predictions and presenting this in a plot where points cluster together based on the model performance characteristics (e.g., points with similar model error form a cluster). A

Patch search mode If a job has patch-level features, additional search modes are presented. Patch mode: In this mode, the patches within the bounding box in the search query image are matched with patches in the target images. Full

Label job results for label specs indicate the accuracy of the data. Therefore, you can save the label job result as Result Sets and export the results into the required catalog. This article describes how to create Result Sets from

The guide below describes creating a data exploration(EXPLORE) job. It uses PASCAL-VOC12 as an example public dataset. This public dataset can be imported as per the instructions in Import public dataset . The following video explains the steps to

When creating a new anomaly model, you can clone from an existing model to populate the same set of good images and test images in the new model. You can edit the images, remove or add images, and specify the

A resultset must be used to save the search results obtained by running a similarity search. The results can be added to an existing resultset or a new resultset can be created as below. For more details on resultset operations