Aircraft Damage Detection

Object Detection

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2023-10-30 1:49pm

v3

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Generated on Oct 31, 2023

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YOLOv11

TXT annotations and YAML config used with YOLOv11.

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TXT annotations and YAML config used with YOLOv9.

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TXT annotations and YAML config used with YOLOv8.

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TXT annotations and YAML config used with YOLOv5.

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TXT annotations and YAML config used with YOLOv7.

COCO JSON

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

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Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Pascal VOC XML

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

PaliGemma

PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.

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3178 Total Images

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Dataset Split

Train Set 81%

2577Images

Valid Set 14%

453Images

Test Set 5%

148Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Grayscale: Applied

Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

No augmentations were applied.

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Aircraft Damage Detection

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Labels

Attributes

Raw Data

Annotations

Group:

dents-cracks-scratches

Classes

Layers

crack

9

Unused Classes

dent

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Attributes

DSC01673.jpg

640x640

0.41MP

Updated Jul 30, 55801

12:09AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640
Grayscale	Applied
Auto-Adjust Contrast	Adaptive Equalization

Annotation History

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Raw Data

Source Data

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