---
title: "Manual upload dataset"
slug: "manual-upload-dataset-1"
updated: 2025-09-25T05:10:04Z
published: 2025-09-25T05:10:04Z
canonical: "docs.akridata.ai/manual-upload-dataset-1"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.akridata.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Manual upload dataset

A ‘manual upload’ type of dataset allows you to upload files from your laptop or desktop through your browser. This can be used to populate a dataset when the data is unavailable in a cloud-hosted bucket(like an S3 bucket). Once data is uploaded, all operations on a manual upload dataset are similar to those on any other dataset. The guide below illustrates detailed steps to create a manual upload dataset and upload files.

[Embedded content](https://akridata-ai.portal.trainn.co/share/fIYqlOTtCm0H3x5F09PzUA/embed?mode=interactive)

1. On the Dataset listing page, click the **+Add Dataset** button on the top-right corner.

![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/add-dataset1.jpg)
2. On the **Add Dataset** page, enter a dataset name and select the **Data Type** as Image or Video. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/add-dataset-details1.jpg)
3. Click the **Upload Directory** checkbox. This indicates that the manual upload activity with files uploaded from a local directory. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/add-dataset-upload-directory.jpg)
4. Review the default pipelines and customize as needed.
5. Click the **Proceed** button at the bottom-right corner.
6. Review and agree to the license terms associated with the featurizers in the attached pipelines. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/ad-dataset-accept-license.jpg)
7. Click the **Save** button and click **OK**. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/dataset-created(2).jpg)
8. In the **Upload Directory** window, browse to the directory/folder from where the files should be uploaded. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/upload-directory-selected.jpg)
9. Click the **Upload**button to start uploading the files.
10. Once all the files are uploaded, click the **Process Data** button to begin ingestion of the uploaded files. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/dataset-process-data.jpg) You can click **Close** to do the data processing activity at a later time.
11. Click the **Dataset Details** link on the notification pop-up to track the status of the pipeline. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/dataset-pipeline.jpg)
12. On the dataset details page, click the **Pipeline** tab on the navigation bar. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/pipeline-view-details(1).jpg)
13. Under the Pipelines tab, click **View Details** adjacent to the corresponding pipeline list to view the details. ![](https://cdn.document360.io/3e9d4528-fbc6-4948-a804-8ee7068e7ac3/Images/Documentation/dataset-pipeline-initiated.jpg)