Detect product defects in factory images.
Match the task to the required output.
Choose two appropriate mappings.
Image classification labels a whole image, while object detection or segmentation identifies locations or regions.
Detailed explanation
It assigns classes to an image.
It assigns classes to an image.
These methods identify positions or pixel regions.
These methods identify positions or pixel regions.
Classification alone does not return locations.
Classification alone does not return locations.
Capture conditions and input quality matter.
Capture conditions and input quality matter.
Try it yourself
An example you can run in a temporary verification environment.
AWS公式AIF-C01試験ガイドDomain 1.1のコンピュータビジョンタスクを確認する。Expected result
分類と位置特定の違いを画像要件へ結び付けられる。Key points
- Classification
- Detection
- Segmentation
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Command output formatting can vary slightly by distribution or tool version.
- Run the example in a temporary directory or process when possible.
Foundation review
Read the scope first
Check whether the command acts on the current shell, a new process, an existing process, or a file.
Verify the observable result
Use the supplied command and compare the output with the expected result.