Dataset Versions

augmented-416x416

v2

augmented-416x416

Generated on Aug 22, 2024

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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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240 Total Images

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Dataset Split

Train Set 88%

210Images

Valid Set 8%

20Images

Test Set 4%

10Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3

Flip: Horizontal

Crop: 0% Minimum Zoom, 40% Maximum Zoom

Rotation: Between -15° and +15°

Blur: Up to 1.5px

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Hard Hat Sample

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11 / 12

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test

Labels

Attributes

Raw Data

Annotations

Group:

Workers

CLASSES

LAYERS

head

1

helmet

6

Unused Classes

person

Tags

No Tags Applied

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

Attributes

000008_jpg

416x416

0.17MP

Updated Aug 22, 2024

7:06AM

GMT+00:00

Generated by Roboflow

Testing Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 416x416

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "datasets": [
        "GF95a6eZfmtpIKbCSEQq"
    ],
    "destination": "LKjDamAhxcQkbNsMVKXY",
    "height": 416,
    "id": "75j7Y8Aw3ibRlQPoVIay",
    "label": [],
    "labels": [],
    "name": "000008_jpg",
    "numSteps": 2,
    "owner": "2ixVYhhVG3d3bUhljeo2gPjovLp2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",416,416]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 416x416"
        }
    ],
    "source": "75j7Y8Aw3ibRlQPoVIay",
    "split": "test",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",416,416]\"\n]",
    "updated": 1724310419.911,
    "updatedDate": "Aug 22, 2024",
    "updatedTime": "7:06AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "GF95a6eZfmtpIKbCSEQq/2"
    ],
    "width": 416
}

{
    "boxes": [
        {
            "label": "helmet",
            "x": 269,
            "y": 286,
            "width": 47.5,
            "height": 40
        },
        {
            "label": "helmet",
            "x": 202,
            "y": 243.5,
            "width": 37.5,
            "height": 27.5
        },
        {
            "label": "helmet",
            "x": 178.5,
            "y": 160,
            "width": 42.5,
            "height": 28
        },
        {
            "label": "helmet",
            "x": 219.5,
            "y": 127,
            "width": 40,
            "height": 27
        },
        {
            "label": "helmet",
            "x": 277.5,
            "y": 256.5,
            "width": 34,
            "height": 23
        },
        {
            "label": "helmet",
            "x": 297,
            "y": 244.5,
            "width": 33.5,
            "height": 27
        },
        {
            "label": "head",
            "x": 144.5,
            "y": 164.5,
            "width": 36,
            "height": 29.5
        }
    ],
    "height": 416,
    "key": "000008_jpg.rf.e02009e902c74a6a08eee7ac6ef77bcb.jpg",
    "width": 416
}

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