Dataset Versions

2022-06-13 11:22am

Generated on Jun 13, 2022

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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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120 Total Images

View All Images

Dataset Split

Train Set 100%

120Images

Valid Set %

0Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3

Grayscale: Apply to 100% of images

Bounding Box: Brightness: Between -67% and +67%

Bounding Box: Blur: Up to 9.75px

Similar Projects

Annotations

Group:

wheel

CLASSES

LAYERS

Tire

Wheel hub

1a2b7ec95ea39e71859e6d24a206d739aa44b84b.jpg

416x416

0.17MP

Updated Jun 13, 2022

4:22AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 416x416
Brightness	Applied Per Bounding Box
Blur	Applied Per Bounding Box
Grayscale	Applied

Raw Data

{
    "camera": "Generated by Roboflow",
    "datasets": [
        "2N4Zg6G93dO0hBouMYtM"
    ],
    "destination": "c4a321b3db5b822561903f558834f317",
    "height": 416,
    "id": "F1IhCX3jY6vOtOg1JePz",
    "label": [],
    "labels": [],
    "name": "1a2b7ec95ea39e71859e6d24a206d739aa44b84b.jpg",
    "numSteps": 5,
    "owner": "CbEcVVAX3MMqhSi0y12slMQavWM2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",416,416]",
        "brightness:[[37],[-39]]",
        "blur:[[4.25],[2.75]]",
        "grayscale"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 416x416"
        },
        {
            "name": "Brightness",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Blur",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        }
    ],
    "source": "F1IhCX3jY6vOtOg1JePz",
    "split": "train",
    "split.2N4Zg6G93dO0hBouMYtM.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",416,416]\",\n    \"brightness:[[37],[-39]]\",\n    \"blur:[[4.25],[2.75]]\",\n    \"grayscale\"\n]",
    "updated": {
        "_seconds": 1655094177,
        "_nanoseconds": 374000000
    },
    "updatedDate": "Jun 13, 2022",
    "updatedTime": "4:22AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "2N4Zg6G93dO0hBouMYtM/2"
    ],
    "width": 416
}

{
    "boxes": [
        {
            "label": "Tire",
            "x": 211,
            "y": 207.5,
            "width": 282.25,
            "height": 414.875
        },
        {
            "label": "Wheel hub",
            "x": 207.5,
            "y": 217.5,
            "width": 192.875,
            "height": 344.875
        }
    ],
    "height": 416,
    "key": "1a2b7ec95ea39e71859e6d24a206d739aa44b84b.jpg",
    "width": 416
}

Tire and Wheel hub