helmet-detection-and-license-plate-recognition

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-11-07 10:21pm

2023-10-23 11:25pm

2023-10-22 3:36pm

2023-10-07 2:23pm

2023-10-04 3:46am

v2

2023-10-07 2:23pm

Generated on Oct 7, 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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6562 Total Images

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Dataset Split

Train Set 80%

5248Images

Valid Set 15%

984Images

Test Set 5%

330Images

Preprocessing

No preprocessing steps were applied.

Augmentations

No augmentations were applied.

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helmet-detection-and-license-plate-recognition

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1 / 13

Show/hide annotations(H)

train

Labels

Attributes

Raw Data

Annotations

Group:

helmet

CLASSES

LAYERS

nohelmet

2

Unused Classes

helmet

licenseplate

motorcyclist

Tags

No Tags Applied

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

Attributes

Without_Helmet-163-.jpg

800x800

0.64MP

Updated Nov 28, 55820

7:00AM

GMT+00:00

Generated by Roboflow

Training Set

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "helmet": 4724,
        "licenseplate": 5207,
        "motorcyclist": 5420,
        "nohelmet": 6949
    },
    "datasets": [
        "ICXoR73hYx4IQofGoLTG"
    ],
    "destination": "cebdc9722df0c0dfea37513835656249",
    "height": 800,
    "id": "HswdAvqLewNTLc00LJtO",
    "label": [],
    "labels": [],
    "name": "Without_Helmet-163-.jpg",
    "numSteps": 0,
    "owner": "9d8bff47ykMjSbirpGf0j20wBWT2",
    "preprocessing": [],
    "preprocessingParsed": [],
    "source": "HswdAvqLewNTLc00LJtO",
    "split": "train",
    "split.ICXoR73hYx4IQofGoLTG.1": "train",
    "split.ICXoR73hYx4IQofGoLTG.2": "train",
    "split.ICXoR73hYx4IQofGoLTG.6": "train",
    "status": "generated",
    "transforms": "[]",
    "updated": 1699370521207,
    "updatedDate": "Nov 28, 55820",
    "updatedTime": "7:00AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "ICXoR73hYx4IQofGoLTG/1",
        "ICXoR73hYx4IQofGoLTG/2",
        "ICXoR73hYx4IQofGoLTG/6"
    ],
    "width": 800
}

{
    "boxes": [
        {
            "label": "nohelmet",
            "x": 324,
            "y": 151,
            "width": 90,
            "height": 124
        },
        {
            "label": "nohelmet",
            "x": 450,
            "y": 165.5,
            "width": 126,
            "height": 116
        }
    ],
    "height": 800,
    "key": "Without_Helmet-163-_jpg.rf.2cc20fd4c478e05ae213413bd5f330d6.jpg",
    "width": 800
}

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