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  • Annotation Best Practices for Object Detection
  • Data Collection Best Practices
  • Adding categories to OCR models

Annotation Best Practices for Object Detection


1. Tight Bounding Boxes

The boxes should be as small as possible to fit the entire object

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2. Completeness

Make sure you have annotated all objects from all categories in an image. Missing any objects hampers the model’s learning

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3. Consistency across images

You should maintain uniformity in annotations across all images in case your object has a certain degree of subjectivity in identifying them. For instance, how damaged the concrete surface should be to call it a “crack” must be the same for all images

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← Object DetectionData Collection Best Practices →
  • 1. Tight Bounding Boxes
  • 2. Completeness
  • 3. Consistency across images
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