📚 Data Management
One of the main features of Picsellia is Data Management. From storage to versioning through annotation, we will cover everything in this section.
Managing Data
effectively is the cornerstone of any successful Computer Vision project.
Picsellia's Data Management features are designed to help you navigate this complex landscape with ease and efficiency. Here's a look at some of the key features that you can expect:
-
Data Ingestion and Integration: Easily import and integrate
Data
from various sources, including Local storage or Remote S3-compatible cloud storage. Picsellia supports a wide range of formats, making data ingestion a seamless process. -
Data Tagging and Labeling: With Picsellia's Annotation tool, you can label images (and soon videos) quickly. Collaborate with team members, Leverage Pre-Annotation, or even outsource to professional annotators, all within the platform.
-
Data Version Control: Maintain full control over different versions of your
Data
. This ensures that you can always access theData
you need when you need it. -
Data Quality Assurance: Quality checks and validation processes are in place to ensure that the
Data
meets the required standards. Any inconsistencies or errors are flagged for review, helping maintain the integrity of theDataset
. -
Data Augmentation: Enhance your
Dataset
with data augmentation techniques such as flipping, rotating, and cropping. This helps in creating a more diverse and robustDataset
for training models. -
Data Exploration and Querying: Intuitive tools for exploring and visualizing your
Data
. Analyze distributions, identify trends, and gain insights into yourDataset
's characteristics. -
Data Collaboration and Sharing: Collaborate with team members, clients, or other stakeholders. Assign roles, set permissions, and share
Datasets
securely within or outside your Organization.
Updated 10 months ago