Dataset Versions

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2023-09-11 2:45pm

2023-09-11 9:56am

2023-09-10 10:40pm

2023-09-09 9:58pm

v4

2023-09-11 2:45pm

Generated on Sep 11, 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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117 Total Images

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Dataset Split

Train Set 85%

100Images

Valid Set 10%

12Images

Test Set 4%

5Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Rotation: Between -15° and +15°

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Mask

Annotate

10 / 12

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train

Labels

Attributes

Raw Data

Annotations

Group:

Mask

Classes

Layers

Mask

1

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No Tags Applied

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Attributes

13.jpg

640x640

0.41MP

Updated Dec 24, 55663

12:18AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "saoKOo2WK0FobyoNqiHQ"
    ],
    "destination": "e8f7a4b6d5806608532c536f4451ddc4",
    "height": 640,
    "id": "pYp4aixa9IFUC8ucCrZY",
    "label": [],
    "labels": [],
    "name": "13.jpg",
    "numSteps": 2,
    "owner": "oRl2Nzo5N2UiEp7ABbWz31d0BFD2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "pYp4aixa9IFUC8ucCrZY",
    "split": "train",
    "split.saoKOo2WK0FobyoNqiHQ.3": "train",
    "split.saoKOo2WK0FobyoNqiHQ.4": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1694418308329,
    "updatedDate": "Dec 24, 55663",
    "updatedTime": "12:18AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "saoKOo2WK0FobyoNqiHQ/3",
        "saoKOo2WK0FobyoNqiHQ/4"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Mask",
            "x": 268.5,
            "y": 385.5,
            "width": 181.5,
            "height": 202
        }
    ],
    "height": 640,
    "key": "13.jpg",
    "width": 640
}

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