Dataset Versions

2022-07-22 11:34am

v1

2022-07-22 11:34am

Generated on Jul 22, 2022

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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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245 Total Images

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Dataset Split

Train Set 85%

208Images

Valid Set 15%

37Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Grayscale: Applied

Augmentations

No augmentations were applied.

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Labels

Attributes

Raw Data

Annotations

Group:

s

CLASSES

LAYERS

WTiny

1

Unused Classes

BThreadOut

BThreadOut2

WVertical

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Attributes

WIN_20220722_10_27_52_Pro.jpg

1280x960

1.23MP

Updated Jun 2, 54524

12:19AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Grayscale	Applied

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "BThreadOut": 93,
        "BThreadOut2": 67,
        "WTiny": 84,
        "WVertical": 1
    },
    "datasets": [
        "UeqPOxKu2OzHoViRkAqg"
    ],
    "destination": "7fa373c87da9da32f274246b252f0302",
    "height": 960,
    "id": "4K1NTU53rDYb3QR75jHM",
    "label": [],
    "labels": [],
    "name": "WIN_20220722_10_27_52_Pro.jpg",
    "numSteps": 2,
    "owner": "U6bkeKeAPNPuuc4qvsZZ",
    "preprocessing": [
        "auto-orient",
        "grayscale"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        }
    ],
    "source": "4K1NTU53rDYb3QR75jHM",
    "split": "train",
    "split.UeqPOxKu2OzHoViRkAqg.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"grayscale\"\n]",
    "updated": 1658457245983,
    "updatedDate": "Jun 2, 54524",
    "updatedTime": "12:19AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "UeqPOxKu2OzHoViRkAqg/1"
    ],
    "width": 1280
}

{
    "boxes": [
        {
            "label": "WTiny",
            "x": 644,
            "y": 443.5,
            "width": 426,
            "height": 287
        }
    ],
    "height": 960,
    "key": "WIN_20220722_10_27_52_Pro.jpg",
    "width": 1280
}

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