Roboflow | Image Labeling API | Automatically Label Computer Vision Data @Roboflow | Uploaded 1 year ago | Updated 1 hour ago
GitHub repo: github.com/roboflow/auto-annotate
Automatic image labeling can save you tons of time and is especially useful when:
1. You already have a dataset and a model trained and you want to expand your dataset with a new batch of images to retrain the model and improve its accuracy. You can use the model you already have to automatically apply annotations.
2. You want to create a new dataset, but you have found on a model capable of detecting objects visually similar to those in your future dataset. You can do automatic annotation and then refine the labels by changing their class name or removing redundant bounding boxes.
GitHub repo: github.com/roboflow/auto-annotate
Automatic image labeling can save you tons of time and is especially useful when:
1. You already have a dataset and a model trained and you want to expand your dataset with a new batch of images to retrain the model and improve its accuracy. You can use the model you already have to automatically apply annotations.
2. You want to create a new dataset, but you have found on a model capable of detecting objects visually similar to those in your future dataset. You can do automatic annotation and then refine the labels by changing their class name or removing redundant bounding boxes.
