PPE Detection Using CV

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-07-18 1:22pm

2023-07-12 2:48pm

2023-07-12 4:47pm

v1

2023-07-12 4:47pm

Generated on Jul 12, 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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1229 Total Images

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Dataset Split

Train Set 70%

857Images

Valid Set 20%

243Images

Test Set 10%

129Images

Preprocessing

No preprocessing steps were applied.

Augmentations

No augmentations were applied.

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PPE Detection Using CV

Annotate

1 / 13

Show/hide annotations(H)

train

Labels

Attributes

Raw Data

Annotations

Group: Safety-Equipment

helmet on head

2

Unused Classes

Person

goggles

helmet

no-goggles

no-helmet

no-vest

vest

Attributes

image_174.jpg

1200x350

0.42MP

Updated Jul 27, 55498

3:27PM

GMT+00:00

Generated by Roboflow

Training Set

Annotation History

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Raw Data

Source Data

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    "status": "generated",
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    "updatedTime": "3:27PM",
    "updatedTimezone": "+00:00",
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Annotation Data

{
    "boxes": [
        {
            "label": "helmet on head",
            "x": 821.11,
            "y": 150.85,
            "width": 323.27,
            "height": 258.69
        },
        {
            "label": "helmet on head",
            "x": 231.67,
            "y": 112.78,
            "width": 203.33,
            "height": 225.56
        }
    ],
    "height": 350,
    "key": "image_174.jpg",
    "width": 1200
}

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