Dataset Versions

v12

2024-01-13 7:43pm

Generated on Jan 13, 2024

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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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7367 Total Images

View All Images

Dataset Split

Train Set 65%

4773Images

Valid Set 25%

1829Images

Test Set 10%

765Images

Preprocessing

Auto-Orient: Applied

Isolate Objects: Applied

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group:

weelding_defects

IMG_3714.JPG

52x46

0.00MP

Updated Sep 24, 56004

9:48AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Static Crop

X: 5.770007% to 7.496528%
Y: 30.872024% to 31.996528%

Select annotation #2

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "QKsKvBH14SSgpnVqQGXB"
    ],
    "destination": "3d0711df3061f12c74a06d95c02f8a8a",
    "height": 46,
    "id": "7TjIyUR8qVVH4IKqd5co",
    "label": [],
    "labels": [],
    "name": "IMG_3714.JPG",
    "numSteps": 3,
    "owner": "8VSsJF8W48TrwEhRiNZQHHJjauF2",
    "preprocessing": [
        "auto-orient",
        "static-crop:[\"5.770007\",\"7.496528\",\"30.872024\",\"31.996528\"]",
        "select-annotation:[1]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 5.770007% to 7.496528%<br/>Y: 30.872024% to 31.996528%"
        },
        {
            "value": "Select annotation #2"
        }
    ],
    "source": "7TjIyUR8qVVH4IKqd5co",
    "split": "train",
    "split.QKsKvBH14SSgpnVqQGXB.12": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[\\\"5.770007\\\",\\\"7.496528\\\",\\\"30.872024\\\",\\\"31.996528\\\"]\",\n    \"select-annotation:[1]\"\n]",
    "updated": 1705171427306,
    "updatedDate": "Sep 24, 56004",
    "updatedTime": "9:48AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "QKsKvBH14SSgpnVqQGXB/12"
    ],
    "width": 52
}

Annotation Data

{
    "boxes": [
        {
            "label": "Spatter",
            "x": 26,
            "y": 23,
            "width": 52,
            "height": 46
        }
    ],
    "height": 46,
    "key": "IMG_3714.JPG",
    "width": 52
}