Dataset Versions

Augment Version to Darknet

Generated on Mar 27, 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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1976 Total Images

View All Images

Dataset Split

Train Set 96%

1905Images

Valid Set 4%

71Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3

90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Rotation: Between -20° and +20°

Blur: Up to 10px

Noise: Up to 5% of pixels

Similar Projects

Annotations

Group:

hole

CLASSES

LAYERS

img_520.jpg

416x416

0.17MP

Updated May 27, 55204

5:45PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 416x416
90° Rotate	Applied
Rotation	9°
Blur	8.25px
Noise	0.75%

Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "0": 1686
    },
    "datasets": [
        "PnE2cO9xpjMYVla1Nvfa"
    ],
    "destination": "8993bd105be8d9b5cca60bfd149f2034",
    "height": 416,
    "id": "sbSMRlbVjKYwdjYSGrg2",
    "label": [],
    "labels": [],
    "name": "img_520.jpg",
    "numSteps": 6,
    "owner": "r50lvHX24EZ9teVAi0HafcreBK03",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",416,416]",
        "ninety:[-90]",
        "rotate:[9]",
        "blur:[8.25]",
        "noise:[0.75,853574]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 416x416"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "9°"
        },
        {
            "name": "Blur",
            "value": "8.25px"
        },
        {
            "name": "Noise",
            "value": "0.75%"
        }
    ],
    "source": "sbSMRlbVjKYwdjYSGrg2",
    "split": "train",
    "split.PnE2cO9xpjMYVla1Nvfa.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",416,416]\",\n    \"ninety:[-90]\",\n    \"rotate:[9]\",\n    \"blur:[8.25]\",\n    \"noise:[0.75,853574]\"\n]",
    "updated": 1679915526308,
    "updatedDate": "May 27, 55204",
    "updatedTime": "5:45PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "PnE2cO9xpjMYVla1Nvfa/1"
    ],
    "width": 416
}

{
    "boxes": [
        {
            "label": "0",
            "x": 88.5,
            "y": 297,
            "width": 21,
            "height": 23
        },
        {
            "label": "0",
            "x": 229.5,
            "y": 207,
            "width": 26,
            "height": 16
        }
    ],
    "height": 416,
    "key": "img_520.jpg",
    "width": 416
}

hole_detector