Run Smart Prediction
Run Smart Prediction
To run Smart Prediction on an image:
- In Data, select an image or multiple images.
- Click the Run Smart Prediction button.
- Choose a prediction model.
- Click Run.
To run Smart Prediction, the image height and width should be between 257 px and 2048 px.
Prediction models
For Image 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.
For Image (Legacy) 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.
Updated 5 months ago