⬆️ Datalake - Import Data from local drive
1. Accessing the Datalake
Datalake
To access the proper Organization's Datalake
, ensure that you're within the right Organization. Each Organization has its own independent Datalake
.
After accessing the correct Organization, you can reach its Datalake
through the Navigation Bar as illustrated below:

Access Datalake
You're now visualizing the Datalake
for your Organization.
Now, it's time to upload your Data
to Picsellia!
2. Uploading your Data
Data
Every machine learning project begins with data, and in our case of Computer Vision, it starts with images.
There are two ways to access your Data
using Picsellia:
- Connect your remote storage to Picsellia's
Datalake
and access them through Picsellia. - Upload locally stored
Data
directly to Picsellia. In this scenario, yourData
will be stored in Picsellia's AWS-operated storage.
This page focuses on the second approach: the direct upload of Data
to Picsellia's Datalake
.
To proceed, simply click on the Upload data button.

Upload Data
Sample
Data
If you're new to Picsellia, your
Datalake
might be empty or contain 150 exampleData
.
A modal will appear. From here, click on Select files, which will open your OS's file browser, allowing you to choose the images you wish to import into your Picsellia Datalake
.
Once you've selected files from your local device, you can create or select the appropriate DataTag
to associate with the batch of Data
you're about to upload to your Datalake
. To learn more about tags and their usage, refer to this documentation page.
After selecting the necessary files and DataTags
, click on Upload.

Data
upload modal
During the upload, a progress bar will display. Depending on the amount of Data
being uploaded, you may need to be patient, or consider using our SDK to upload Data.
Supported Image Formats
Currently, we support the primary image formats:
- .png
- .jpg
- .jpeg
If you require support for additional formats, please don't hesitate to contact us.
Once the upload is complete, you can see the total number of Data
in your Datalake
and sort it based on various criteria (updated date, filename, or random), as depicted below:

Visualize and sort uploaded Data
What about Annotations?
It's important to note that labeling occurs at the
DatasetVersion
level, not at theDatalake
level.
3. Understanding Data
in Picsellia
Data
in PicselliaData
refers to an image that is part of your Datalake
. Any image used within any Picsellia feature is always associated with Data
stored in the Datalake
. For example, the Asset
composing a Dataset
or the Predictions
made within a Deployment
are always linked to Data
stored in the Datalake
.
The Data
in Picsellia's Datalake
includes both the image and its linked Metadata. This Metadata can be viewed using the Table button, which opens the Table view.

Switch from Grid view to Table view
The Table view provides access to the following Metadata:
- preview: thumbnail of your image
- filename: complete filename of your
Data
- shape: dimensions in pixels of your
Data
- source: source of your
Data
(e.g., direct_upload, AWS_bucket, serving....) - tags:
DataTag
associated with theData
(more about tags here) - created at: creation date of the
Data
on Picsellia - created by: Picsellia user who created the
Data
- Personalized Metadata

Table view
All Metadata can be customized and personalized using the SDK. However, as Picsellia relies on this Metadata to handle images, modifying them may lead to unexpected outcomes.
Searching for
Data
The search bar is the most effective way to leverage Metadata and navigate through your
Datalake
. More information is available here.
Updated 27 days ago