Dataset Versions

2023-03-21 9:18pm

Generated on Mar 21, 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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6088 Total Images

View All Images

Dataset Split

Train Set 58%

3552Images

Valid Set 21%

1284Images

Test Set 21%

1252Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 416x416

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group: helmet-head-person

helmet

Unused Classes

head

person

Attributes

hard_hat_workers495.png

416x416

0.17MP

Updated Feb 9, 55208

6:01PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 416x416

Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "head": 5891,
        "helmet": 20466,
        "person": 2110
    },
    "datasets": [
        "D9CfXCYZnk9zlgl0sK6u"
    ],
    "destination": "780a044adfaa8e4b9f55da2d0b51ac73",
    "height": 416,
    "id": "LkIGwwkr8GA5KWySMebi",
    "label": [],
    "labels": [],
    "name": "hard_hat_workers495.png",
    "numSteps": 2,
    "owner": "IELe8PvDHyU3w973mhiI5SwYoK13",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",416,416]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 416x416"
        }
    ],
    "source": "LkIGwwkr8GA5KWySMebi",
    "split": "train",
    "split.D9CfXCYZnk9zlgl0sK6u.3": "train",
    "split.D9CfXCYZnk9zlgl0sK6u.5": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",416,416]\"\n]",
    "updated": 1680032426485,
    "updatedDate": "Feb 9, 55208",
    "updatedTime": "6:01PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "D9CfXCYZnk9zlgl0sK6u/3",
        "D9CfXCYZnk9zlgl0sK6u/5"
    ],
    "width": 416
}

{
    "boxes": [
        {
            "label": "helmet",
            "x": 348.5,
            "y": 135.5,
            "width": 33,
            "height": 39
        },
        {
            "label": "helmet",
            "x": 274.5,
            "y": 144.5,
            "width": 35,
            "height": 43
        },
        {
            "label": "helmet",
            "x": 218.5,
            "y": 200.5,
            "width": 55,
            "height": 69
        },
        {
            "label": "helmet",
            "x": 298,
            "y": 96,
            "width": 20,
            "height": 32
        },
        {
            "label": "helmet",
            "x": 269.5,
            "y": 107,
            "width": 25,
            "height": 32
        },
        {
            "label": "helmet",
            "x": 398.5,
            "y": 135,
            "width": 31,
            "height": 40
        }
    ],
    "height": 416,
    "key": "hard_hat_workers495.png",
    "width": 416
}

safety-helmet-kaggle