🏷️ Datasets & Annotation
Datasets Preparation & Annotation
The most critical step in AI — data quality determines model quality
80%
Time in Data Prep
10X
Impact on Model
1M+
Annotated Images
Key Features
What Makes This Technology Special
Data Collection
Collect images from factory cameras covering all environments
Bounding Box Annotation
Draw boxes around objects to teach AI object locations
Polygon / Mask
Detailed annotation for segmentation tasks
Quality Control
Verify annotation quality through review processes
Data Augmentation
Increase data volume with flip, rotate, and crop techniques
Active Learning
Let AI select images that should be annotated first
Benefits
Why You Need This Technology
Higher Model Accuracy
High-quality data leads to more accurate models
Faster Training
Clean data helps models learn more quickly
Cover All Scenarios
Diverse data ensures models handle every condition
Long-Term Savings
Investing in good data beats fixing model issues later
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