Aircraft Damage Detection

Object Detection

Dataset Versions

Try Pre-Trained Model

Even More Finetuning on v5

Extra Finetuning -current best-

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2023-10-30 1:49pm

v3

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Generated on Oct 31, 2023

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Popular Download Formats

YOLOv11

TXT annotations and YAML config used with YOLOv11.

YOLOv9

TXT annotations and YAML config used with YOLOv9.

YOLOv8

TXT annotations and YAML config used with YOLOv8.

YOLOv5

TXT annotations and YAML config used with YOLOv5.

YOLOv7

TXT annotations and YAML config used with YOLOv7.

COCO JSON

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

YOLO Darknet

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.

CreateML JSON

CreateML JSON format is used with Apple's CreateML and Turi Create tools.

Other Formats

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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

Auto-Adjust Contrast: Using Adaptive Equalization

Grayscale: Applied

Augmentations

No augmentations were applied.

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Aircraft Damage Detection

Annotate

11 / 12

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train

Labels

Attributes

Raw Data

Annotations

Group:

dents-cracks-scratches

Classes

Layers

crack

3

Unused Classes

dent

Tags

No Tags Applied

Type and select tags below to add them to the image.

Attributes

209_21_JPG.jpg

640x640

0.41MP

Updated Jul 30, 55801

12:01AM

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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    "label": [],
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    "name": "209_21_JPG.jpg",
    "numSteps": 4,
    "owner": "2JVtMtKMWlPmvd4fpoZh3sHHRbE3",
    "preprocessing": [
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    ],
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        {
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        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Adaptive Equalization"
        }
    ],
    "source": "RrRPpswupRV1GHrmZwA6",
    "split": "train",
    "split.ItRmA53vjPP6o3TrCv6s.3": "train",
    "status": "generated",
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    "updated": 1698760425711,
    "updatedDate": "Jul 30, 55801",
    "updatedTime": "12:01AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "ItRmA53vjPP6o3TrCv6s/3"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "crack",
            "x": 370.5,
            "y": 118.5,
            "width": 115,
            "height": 127
        },
        {
            "label": "crack",
            "x": 578,
            "y": 146.5,
            "width": 124,
            "height": 92
        },
        {
            "label": "crack",
            "x": 449.5,
            "y": 232,
            "width": 90,
            "height": 125
        }
    ],
    "height": 640,
    "key": "209_21_JPG.rf.cadc485aef01f8dc9711bbb78492770c.jpg",
    "width": 640
}

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