BYOD - YOLO format¶
Category: data_generator.vision.detection.2d
Version: 1.0.0
UUID: 10119c7c61a99619183b0fc45494ed401a7b797257d47bc6584743e8a11c690c
Execution context: leip_af
Choice Priority: 9.8
Subcomponent Parameters¶
| Name | Synonyms | Allowable Categories |
|---|---|---|
| Training Augmentation | data.augmentation.training |
augmentation.vision.2d.training |
| Validation Augmentation | data.augmentation.validation |
augmentation.vision.2d.validation |
Value Parameters¶
| Name | Synonyms | Type | Values |
|---|---|---|---|
| Dataset name | data_generator.dataset_name |
scalar | string |
| Images subdir | data_generator.image_subdirectory |
scalar | path |
| Data is split | data_generator.data_is_presplit |
scalar | bool |
| Annotations subdir | data_generator.annotation_subdirectory |
scalar | path |
| Root Path | data_generator.root_path |
scalar | path |
| Training data subdir | data_generator.train_subdir |
scalar | path |
| The ratio of train/val split | data_generator.train_val_split_ratio |
scalar | float, min: 0.0, max: 1.0 |
| The seed for train/val split | data_generator.split_seed |
scalar | int |
| Validation data subdir | data_generator.val_subdir |
scalar | path |
| Number of classes | data.number_of_classes |
scalar | int |
Constraints¶
- Number of classes has to be positive (meta.nclasses > 0)
- Need a root path for dataset (len(str(actual.root_path)) > 0)