Run Smart Prediction

Run Smart Prediction

To run Smart Prediction on an image:

  1. In Data, select an image or multiple images.
  2. Click the Run Smart Prediction button.
  3. Choose a prediction model.
  4. Click Start prediction.

Prediction models

For Pixel Projects:

  • Instance segmentation (trained on COCO): Predicts your instance’s class label, bounding box, and binary mask. Use this model to detect countable objects, such as cats.
  • Panoptic segmentation (trained on COCO): Assigns all the pixels to classes. Use this model to detect countable objects, such as cars, and uncountable objects, such as the sky.
  • Semantic segmentation (trained on Cityscapes): Assigns all the pixels to classes. Use this model to annotate street scenes.

For Vector Projects:

  • Cars: Predicts vehicles.
  • Instance segmentation (trained on COCO): Predicts your instance’s class label, bounding box, and binary mask. Use this model to detect countable objects, such as cats.
  • OCR (English text): Predicts texts in English.
  • Object detection (trained on COCO): Predicts objects using bounding boxes.

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