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cvpal agent/augment_dataset → export_dataset
2 tools
Augment my PPE dataset with horizontal flip and rotation, then export as COCO JSON.

I’ll augment_dataset with flip + rotate on your PPE data, then export_dataset to COCO.

MCP Tools \u00b7 2 jobs
augment_dataset → flip + rotate, 3× per image
Processing 3,420 images on cloud GPU…
Augmentation complete → 10,260 images
export_dataset → COCO JSON, all splits

Done10,260 augmented images exported. Dataset version v3 created.

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Dataset Sources

Hugging Face
Kaggle
Roboflow
Google Drive
S3 / GCS
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Platform Capabilities

14 Dataset Types, One Platform

Object detection, semantic segmentation, instance segmentation, keypoint estimation, oriented bounding boxes, OCR, video tracking, image classification, vision-language, 3D point clouds, and more — each with dedicated viewers and format-aware operations.

14 Types
40+

Built-in operations — merge, split, augment, deduplicate, rename classes, convert formats, and more. No code required.

Team Collaboration

Role-based access, version attribution, and audit logs. Every edit is tracked to the team member who made it.

AI Agent Integration

Connect via Model Context Protocol to Claude, Cursor, VS Code Copilot, and Windsurf. Manage datasets with natural language commands.

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Import from Hugging Face, Kaggle, or your local machine. Works with every major format out of the box.

Object Detection
Classification
Segmentation
Keypoints
OCR
Video Tracking
Point Cloud
Vision-Language
Hugging Face
Kaggle
Roboflow
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