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concrete-defect-object-recognition

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-04-03 4:18pm

2 years ago

2023-04-03 4:18pm

Generated on Apr 3, 2023

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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.

Other Formats

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1040 Total Images

View All Images

Dataset Split

Train Set 92%

960Images

Valid Set 4%

40Images

Test Set 4%

40Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 360x360

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

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

Hue: Between -2° and +2°

Saturation: Between -4% and +4%

Exposure: Between -3% and +3%

Noise: Up to 0% of pixels

Bounding Box: Brightness: Between -1% and +1%

Similar Projects

Annotations

Group: Concrete-Defect

crack

Unused Classes

rebar

spalling

unexposed bar

Attributes

image_0001526_crop_0000002.png

360x360

0.13MP

Updated Jul 11, 55223

4:27AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 360x360

Brightness

Applied Per Bounding Box

Flip

Vertical

90° Rotate

Applied

Hue

1°

Saturation

Exposure

-2%

Noise

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "classes": {
        "crack": 249,
        "rebar": 254,
        "spalling": 89,
        "unexposed bar": 22
    },
    "datasets": [
        "AIM1OShbo5eOUYHBIazz"
    ],
    "destination": "080312a7961ca86b294004f3115ca02e",
    "height": 360,
    "id": "CARNInbgQK63T12C8MRY",
    "label": [],
    "labels": [],
    "name": "image_0001526_crop_0000002.png",
    "numSteps": 9,
    "owner": "WDXJ523SsZhq5ifrdlXEN69OPrs2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",360,360]",
        "brightness:[[0]]",
        "flip:[\"vertical\"]",
        "ninety:[-90]",
        "hue:[1]",
        "saturation:[3]",
        "exposure:[-2]",
        "noise:[0,344870]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 360x360"
        },
        {
            "name": "Brightness",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Flip",
            "value": "Vertical"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Hue",
            "value": "1°"
        },
        {
            "name": "Saturation",
            "value": "3%"
        },
        {
            "name": "Exposure",
            "value": "-2%"
        },
        {
            "name": "Noise",
            "value": "0%"
        }
    ],
    "source": "CARNInbgQK63T12C8MRY",
    "split": "train",
    "split.AIM1OShbo5eOUYHBIazz.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",360,360]\",\n    \"brightness:[[0]]\",\n    \"flip:[\\\"vertical\\\"]\",\n    \"ninety:[-90]\",\n    \"hue:[1]\",\n    \"saturation:[3]\",\n    \"exposure:[-2]\",\n    \"noise:[0,344870]\"\n]",
    "updated": 1680518896029,
    "updatedDate": "Jul 11, 55223",
    "updatedTime": "4:27AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "AIM1OShbo5eOUYHBIazz/1"
    ],
    "width": 360
}

Annotation Data

{
    "boxes": [
        {
            "label": "crack",
            "x": 140,
            "y": 183,
            "width": 280,
            "height": 326
        }
    ],
    "height": 360,
    "key": "image_0001526_crop_0000002.png",
    "width": 360
}

concrete-defect-object-recognition

Dataset Versions

2023-04-03 4:18pm

Popular Download Formats

1040 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Attributes

image_0001526_crop_0000002.png

Updated Jul 11, 55223

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data