| CreateML annotation file contains duplicate entries for… | validation | error | createml, dataset-load, duplicates, data-quality |
| Input mask must be 2D | validation | error | rle, mask, shape, batch-dim |
| resolution must be a tuple of two integers, got | validation | error | resolution, validation, configuration, video |
| Unexpected array dimension for key | validation | error | detections, data-dict, merge, numpy |
| Detections must include class_id for Pascal VOC export. | validation | error | pascal-voc, detections, class-id, dataset-export |
| confidence must be a 1D np.ndarray with shape | validation | error | detections, validation, shape, numpy |
| Blur kernel dimensions must be positive | validation | error | opencv-fallback, blur, kernel-size, input-validation |
| xy must be a 3D np.ndarray with shape | validation | error | keypoints, pose, validation, shape |
| `slice_wh` values must be positive. Received | validation | error | inference-slicer, configuration, validation, valueerror |
| Could not resolve color by track because Detections do not… | validation | error | tracking, annotators, color |
| keypoint_confidence first dimension must be | validation | error | keypoints, confidence, validation, shape |
| visible first dimension must be | validation | error | keypoints, validation, shape, mask |
| `slice_wh` must be a positive integer. Received | validation | error | inference-slicer, configuration, validation, valueerror |
| Video frames must use uint8 dtype | validation | error | opencv-fallback, pyav, video-writer, dtype, uint8 |
| `batch_size` must be a positive integer. Received | validation | error | inference-slicer, batching, configuration, validation, valueerror |
| Cannot merge an empty list of CompactMask objects. | validation | error | compact-mask, merge, empty-input, slicing |
| Predictions and targets must be lists of numpy arrays. Got | validation | error | |
| Number of ref tags ( ) and det tags ( ) in the result must… | validation | error | |
| ORIENTED_BOUNDING_BOXES requested, but | validation | error | |
| Cannot merge CompactMask objects with different image shapes | validation | error | |
| Predictions must have shape | validation | error | |
| Dense mask shape does not match CompactMask image_shape . | validation | error | |
| Predictions must have shape | validation | error | |
| Number of predictions | validation | error | |
| Targets must have shape | validation | error | |
| Color values must be in range 0-255, got | validation | error | |
| Precision with `MetricTarget.MASKS` requires detections to… | validation | error | |
| class ids must be in [0, ], got . | validation | error | |
| F1Score with `MetricTarget.MASKS` requires detections to… | validation | error | |
| not supported. Supported tasks are | validation | error | |
| Recall with `MetricTarget.MASKS` requires detections to… | validation | error | |
| ConfusionMatrix can only be calculated for Detections with… | validation | error | |
| Precision metric requires `class_id` and `confidence` on… | validation | error | |
| Precision metric requires `class_id` on both predictions… | validation | error | |
| Invalid VLM result type | validation | error | |
| ConfusionMatrix can only be calculated for Detections with… | validation | error | |
| Invalid LMM string ' '. Must be one of | validation | error | |
| Both dimensions in resolution_wh must be positive. Got | validation | error | |
| MetricTarget.MASKS is not currently supported for… | validation | error | |
| Recall metric requires `class_id` and `confidence` on… | validation | error | |
| Recall metric requires `class_id` on both predictions and… | validation | error | |
| unexpected fallback manifest | validation | error | |
| Cannot use `Position.CENTER_OF_MASS` without a detection… | validation | error | |
| Cannot merge CompactMask objects with different image… | validation | error | |
| expected one METADATA file in | validation | error | |
| OpenCV runtime requirement remains in | validation | error | |
| BGRA values must be in range 0-255, got | validation | error | |
| RGBA values must be in range 0-255, got | validation | error | |
| BGR values must be in range 0-255, got | validation | error | |
| Precision metric requires `confidence` on predictions. | validation | error | |
| RGB values must be in range 0-255, got | validation | error | |
| Expected result with a single element. Got | validation | error | |
| Recall metric requires `confidence` on predictions. | validation | error | |
| color_count must be greater than or equal to 1 | validation | error | |
| All or none of the 'mask' fields must be None | validation | error | |
| Argument is not allowed for | validation | error | |
| ColorPalette must contain at least one color | validation | error | |
| OpenCV extra remains in | validation | error | |
| Predictions must contain class_id values. | validation | error | |
| class ids must be finite integers. | validation | error | |
| Targets must contain class_id values. | validation | error | |
| Missing required argument | validation | error | |
| Invalid length of color hash | validation | error | |
| Unimplemented task | exception | error | |