Dataset Versions

v1

Train_images

Generated on Feb 7, 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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329 Total Images

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Dataset Split

Train Set 88%

288Images

Valid Set 8%

27Images

Test Set 4%

14Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3

Shear: ±15° Horizontal, ±15° Vertical

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Meterreading

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61.jpg

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Display

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Display

1

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1

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Attributes

61.jpg

512x512

0.26MP

Updated Feb 7, 2022

2:30PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 512x512
Shear	X: 1° Y: -2°

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "datasets": [
        "SqUsmKzpHks6lFAntNBH"
    ],
    "destination": "4e51db7f6f3a7504c1022980729090b9",
    "height": 512,
    "id": "3iopkZk5ZI0bF2mZCnJq",
    "label": [],
    "labels": [],
    "name": "61.jpg",
    "numSteps": 3,
    "owner": "otwHyqjalbcjizsRsjwn52FFtGu1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",512,512]",
        "shear:[1,-2]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 512x512"
        },
        {
            "name": "Shear",
            "value": "X: 1°<br/>Y: -2°"
        }
    ],
    "source": "3iopkZk5ZI0bF2mZCnJq",
    "split": "train",
    "split.SqUsmKzpHks6lFAntNBH.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",512,512]\",\n    \"shear:[1,-2]\"\n]",
    "updated": {
        "_seconds": 1644244241,
        "_nanoseconds": 324000000
    },
    "updatedDate": "Feb 7, 2022",
    "updatedTime": "2:30PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "SqUsmKzpHks6lFAntNBH/1"
    ],
    "width": 512
}

{
    "boxes": [
        {
            "label": "Display",
            "x": 230.75665123916636,
            "y": 213.32952572884506,
            "width": 188.77343800111493,
            "height": 49.19339607892243
        }
    ],
    "height": 512,
    "key": "61.jpg",
    "width": 512
}

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