- Use cases
-
1. Preprocessing
- SageMaker Object Detection preprocessing
- Rekognition Object Detection preprocessing
- SageMaker Kmeans preprocessing
- Autopilot preprocessing
- DeepAR preprocessing
- Personalize preprocessing
- Select, drop or extract Columns
- Split dataset to Train and Test
- Upload to s3
- Forecast preprocessing
- Rekognition Classification preprocessing
- SageMaker Image Classification preprocessing
- Xgboost preprocessing
- Blazingtext preprocessing
- Comprehend custom preprocessing
-
2. Training
- SageMaker Object Detection training
- Rekognition Object Detection training
- Forecast training
- Personalize training
- BlazingText training
- DeepAR training
- SageMaker Kmeans training
- Comprehend custom training
- Autopilot Training
- Xgboost Training
- Autogluon training
- Rekognition Classification training
- SageMaker Image Classification training
-
3. Inference
- SageMaker Object Detection inference
- Forecast inference
- Rekognition Object Detection inference
- Comprehend custom inference
- Personalize inference
- Autopilot Inference
- BlazingText Inference
- Custom SageMaker model Inference
- DeepAR Inference
- Rekognition Classification inference
- SageMaker Image Classification inference
- SageMaker Kmeans inference
- Xgboost Inference
- Contribute a use case or contact us for help.
- Frequently Asked Questions
Rekognition Object Detection training
Make sure you've seen this if you need help creating a dataset first! If you already have a usable dataset, follow along here to train a custom model:
Once you have a dataset, you can start by creating a project.
Create a project
Navigate to Rekognition on the console and click “Amazon Rekognition”:
Click Use Custom Labels
On the left sidebar / menu, click projects
On the projects page click Create project
Provide a project name and click the Create project button
Click Train new model
Choose a training dataset in the dropdown, click Split training dataset, and click
Train
Related content:
- ☞ Rekognition Object Detection inference – 1 min read
- ☞ Rekognition Object Detection preprocessing – 3 min read
- ☞ Autogluon training – 2 min read