Perform Object Detection, Image Classification, and Text Detection Analysis
Use prebuilt OCI Vision models to build image recognition and text recognition into your applications without machine learning (ML) or artificial intelligence (AI) expertise. For example, you might use object detection to identify cars in photographs.
If you have more than 20,000 images to process, in OCI's Object Storage & Archive Storage area you typically set up multiple buckets containing no more than 20,000 images in each bucket. Then, you create a separate data flow to process each bucket, and use a Sequence to sequentially process multiple data flows so that you can process all of your images.
Prerequisites:
- Make sure that your Oracle Analytics instance is integrated with OCI Vision. See Integrate Oracle Analytics with OCI Vision.
- Prepare a dataset that references the images that you'd like to analyze and upload it to Oracle Analytics. See Prepare Images for Analysis With an Vision Model.
When the data flow completes the analysis, open the dataset that you specified in Step 7.
To locate the generated dataset, from the Oracle Analytics home page, navigate to Data, then Datasets.
For more detail about the generated results, see Output Data Generated for Object Detection, Image Classification, and Text Detection Analysis Models.