Data Management in AI Training Platform
The AI Training Platform provides a robust and versatile data management system designed to handle diverse file types and streamline the entire data processing pipeline. Our platform supports multiple data formats includingtext documents, programming languages (Python, R, etc.), images (JPEG, PNG, etc.), videos (MP4, AVI, etc.), and structured data (JSON, CSV, etc.). This ensures seamless integration of multimodal datasets for AI model training.
- Multi-FormatText/Images/Videos
- Version ControlVersion Traceability
- Auto-LabelingSpeed & Efficiency
Details
1. Multi-Format Data Support
- Text & Language Data: Process natural language corpora or annotated text for NLP tasks.
- Images & Videos: Upload and annotate visual data with pixel-level precision.
- Structured Data: Manage JSON/CSV files for metadata and annotations.
2. Data Processing Services
- Interactive Notebooks: Browser-based Python/R environment for data preprocessing.
- Annotation Tools:
• Manual: Bounding boxes, polygons, and semantic segmentation.
• Auto-Labeling: Integrate pre-trained models for smart tagging.
3. Version Control & Publishing
- Dataset Versioning: Create immutable snapshots after annotation (v1.0, v1.1, etc.).
- Version History: Track and compare all dataset iterations via UI.
- Publish Releases: Mark stable versions for model training.
- Export Versions: Download specific dataset versions as ZIP (images + JSON).
4. Complete Workflow
1. Upload → 2. Clean → 3. Annotate → 4. Version → 5. Export
(Matching the documented workflow: Annotated Data → Version History → Export)
