📋 Dataset Preparation
Dataset Preparation for AI
From raw images to ready-to-use datasets — every step of preparing data for Computer Vision
70%
Project Time
1000+
Min Images
80/10/10
Train/Val/Test
Key Features
What Makes This Technology Special
Data Collection
Plan and capture images from real factory environments
Annotation
Label images — bounding boxes, polygons, keypoints
Data Splitting
Split data into train/validation/test sets properly
Format Conversion
Convert to framework-compatible formats — COCO, YOLO, VOC
Quality Check
Verify annotation quality before training
Version Control
Manage dataset versions with DVC or Roboflow
Benefits
Why You Need This Technology
Faster Preparation
Automated tools prepare data 5X faster
Comprehensive Coverage
Cover all environments and edge cases
Reproducible
Reproduce results every time with automated pipelines
Ready to Scale
Designed to handle millions of images
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