Why do this?

Quick and dirty way to get going with Encord using cloud data.

If you are a little more tech savvy, import your cloud data using an integration.

If you only need Encord for annotation/annotation services and you know exactly what data you want to annotate, you might not need to use Index. This means importing your data to a mirrored Dataset, and then creating an Annotate Project.

Pros and Cons

ProsCons
  • Simpler import
  • Quicker Project set up
  • Lack of flexibility for data usage in Projects
  • No data management or curation

Import Data

We’re going to import our dataset of fruit using a JSON file. The dataset is a mixture of images and videos of the following types of fruit:

  • Apples
  • Bananas
  • Blueberries
  • Cherries
  • Kiwi
  • Persimmons
  • Strawberries
2

Download Data

Download and extract the contents of Fruit-images-videos.zip file.

3

Import Data to Cloud Storage

Import the contents of Fruit-images-videos.zip into your cloud storage.

4

Download and Modify JSON

  1. Download the Fruit-basic-cloud-data-images-and-videos.json.

  2. Open the Fruit-basic-cloud-data-images-and-videos.json file and replace <file-path> with the file path to the data stored in your cloud storage.

The Fruit-basic-cloud-data-images-and-videos.json file includes the file path and title for each image and video. It does NOT include imageMetadata, videoMetadata or clientMetadata.
5

Create a Mirrored Dataset

Create a mirrored Dataset using the UI. Using mirrored Datasets is the simplest way get data into Encord for annotation. Mirrored Datasets provide no method of curating or managing your data.

Mirrored datasets sync all the data to your Dataset automatically. This means if you want to add more data to your Dataset, you can add more data to the Dataset and then data automatically gets added to your Annotate Project.

6

Import Data

Import the data, from Fruit-images-videos.zip, using the Fruit-basic-cloud-data-images-and-videos.json to the mirrored Dataset.

7

Re-encode Videos

We strongly recommend re-encoding any imported videos with issues. Re-encoding your videos ensures the best performance when annotating your data.

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