Upload annotations

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What Are Annotations?

Annotations are metadata labels that describe and categorize images or objects within images. They help structure visual datasets, making them searchable, analyzable, and useful for AI training.

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Common annotation types:

• Image Annotations: Assign class labels to entire images, helping categorize datasets.
• Object Annotations: Label individual objects within images using bounding boxes, improving model accuracy.

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Why Are Annotations Important?

Annotations play a critical role in machine learning and AI model training by:
✔ Improving data organization for easier retrieval and filtering
✔ Enhancing search-ability within datasets
✔ Supporting object detection and classification tasks
✔ Increasing model accuracy with high-quality labeled data

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Supported Annotation Formats

1.Parquet / CSV 2.JSON (COCO format)

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⚠️ Limitations

• Important: Annotations must be added when creating a dataset. Currently, you cannot add them afterward.
• Your annotation file must be named exactly as one of the following:
  • annotations.json
  • image_annotations.csv
  • object_annotations.csv
  • image_annotations.parquet
  • object_annotations.parquet

For more details, visit:

• importing annotations
• Preparing Annotation file