Mastering Computer Vision with TensorFlow 2.x

Uploading data to the S3 bucket

The S3 bucket is the cloud storage container to store data in AWS. This section describes how to upload data from our PC to the S3 bucket:

1. Create a main folder to indicate the project data.
2. Within that folder, upload four files and an output folder, as follows:

• train_channel: The train image .jpg file
• train_annotation_channel: The train annotation .JSON file. Each file corresponds to each train image.
• validation_channel: The validation image .jpg file
• validation_annotation_channel: The validation annotation .JSON file. Each file corresponds to each validation image.

3. Create an output folder to store the checkpoint and output model files.