Dataset Versions

2022-07-20 10:01am

Generated on Jul 20, 2022

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Popular Download Formats

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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877 Total Images

View All Images

Dataset Split

Train Set 70%

614Images

Valid Set 20%

173Images

Test Set 10%

90Images

Preprocessing

Auto-Orient: Applied

Resize: Fit within 416x416

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group:

plates

CLASSES

LAYERS

car_plate

3a4d122f-IMG_6981.JPG

416x264

0.11MP

Updated Jun 14, 54519

4:41PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Fit within 416x416

Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "car_plate": 910
    },
    "datasets": [
        "fzsP7W4h91f9ck4mwlEh"
    ],
    "destination": "fc92aee95d5d8b681e1466530b23c8b3",
    "height": 264,
    "id": "0xkLG39OvFUNn6NDyiap",
    "label": [],
    "labels": [],
    "name": "3a4d122f-IMG_6981.JPG",
    "numSteps": 2,
    "owner": "ewP1lj0JrnZp1mxQX6u2lengl7q2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Fit within\",416,416]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Fit within 416x416"
        }
    ],
    "source": "0xkLG39OvFUNn6NDyiap",
    "split": "train",
    "split.fzsP7W4h91f9ck4mwlEh.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Fit within\\\",416,416]\"\n]",
    "updated": 1658300488881,
    "updatedDate": "Jun 14, 54519",
    "updatedTime": "4:41PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "fzsP7W4h91f9ck4mwlEh/1"
    ],
    "width": 416
}

{
    "boxes": [
        {
            "type": "polygon",
            "label": "car_plate",
            "x": 214.2456285,
            "y": 142.4763685,
            "width": 68.24933300000001,
            "height": 15.025466999999992,
            "points": [
                [
                    248.370295,
                    135.506724
                ],
                [
                    180.483027,
                    134.963635
                ],
                [
                    180.120962,
                    149.808073
                ],
                [
                    248.00823,
                    149.989102
                ],
                [
                    248.370295,
                    135.506724
                ]
            ]
        }
    ],
    "height": 264,
    "key": "3a4d122f-IMG_6981.JPG",
    "width": 416
}

convertCocoToYolo