Dataset Versions

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2023-10-28 3:34am

2023-10-23 1:09am

2023-08-31 2:55pm

2023-08-31 2:38pm

2023-08-31 2:07pm

v5

2023-10-28 3:34am

Generated on Oct 28, 2023

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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.

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260 Total Images

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Dataset Split

Train Set 87%

225Images

Valid Set 3%

8Images

Test Set 10%

27Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3

90° Rotate: Clockwise, Counter-Clockwise

Noise: Up to 5% of pixels

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PD Analyzer

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valid

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fringe

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Attributes

19_03_59_590.png

640x640

0.41MP

Updated Oct 2, 55792

9:42AM

GMT+00:00

Generated by Roboflow

Validation Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640
Modify Classes	Applied

Annotation History

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Raw Data

Source Data

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    "camera": "Generated by Roboflow",
    "datasets": [
        "ukhj4edCE61OXOkoGIVT"
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    "destination": "ae736254b56a7ed3de7f35345859734c",
    "height": 640,
    "id": "92IIyAlW6WpH7RLe753w",
    "label": [],
    "labels": [],
    "name": "19_03_59_590.png",
    "numSteps": 3,
    "owner": "qDEi3vDq57dNtrn5FtbOlgEOCi53",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "remap:[\"d8140d2176b9b7af48981901540caea1\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Modify Classes",
            "value": "Applied"
        }
    ],
    "source": "92IIyAlW6WpH7RLe753w",
    "split": "valid",
    "split.ukhj4edCE61OXOkoGIVT.5": "valid",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"remap:[\\\"d8140d2176b9b7af48981901540caea1\\\"]\"\n]",
    "updated": 1698482079738,
    "updatedDate": "Oct 2, 55792",
    "updatedTime": "9:42AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "ukhj4edCE61OXOkoGIVT/5"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [],
    "height": 640,
    "key": "19_03_59_590.png",
    "width": 640
}

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