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JENGA SCHOOL IMPACT PROJECT - DETECTION OF CONCRETE DEFECTS

Object Detection

Dataset Versions

2023-07-20 10:03am

2 years ago

2023-07-20 10:03am

Generated on Jul 20, 2023

Download Dataset

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.

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3470 Total Images

View All Images

Dataset Split

Train Set 77%

2659Images

Valid Set 21%

728Images

Test Set 2%

83Images

Preprocessing

Resize: Stretch to 640x640

Filter Null: Require all images to contain annotations.

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group:

Concrete-defects

ID_993_Efflorescent_Training.jpg

640x640

0.41MP

Updated Oct 17, 55518

11:09AM

GMT+00:00

Generated by Roboflow

Training Set

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "psIUR8qXY59FupjXmUyH"
    ],
    "destination": "33a6b185aac19415d8562edb1d22f474",
    "height": 640,
    "id": "DbPpugbjneIMB21jhCZf",
    "label": [],
    "labels": [],
    "name": "ID_993_Efflorescent_Training.jpg",
    "numSteps": 1,
    "owner": "gVCd5ZTu1GMagq8KBLZbxsMDHuI2",
    "preprocessing": [
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "DbPpugbjneIMB21jhCZf",
    "split": "train",
    "split.psIUR8qXY59FupjXmUyH.2": "train",
    "status": "generated",
    "transforms": "[\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1689836641768,
    "updatedDate": "Oct 17, 55518",
    "updatedTime": "11:09AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "psIUR8qXY59FupjXmUyH/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Efflorescence",
            "x": 306.5,
            "y": 369.5,
            "width": 332.5,
            "height": 426
        }
    ],
    "height": 640,
    "key": "ID_993_Efflorescent_Training.jpg",
    "width": 640
}

JENGA SCHOOL IMPACT PROJECT - DETECTION OF CONCRETE DEFECTS

Dataset Versions

2023-07-20 10:03am

Popular Download Formats

3470 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

ID_993_Efflorescent_Training.jpg

Updated Oct 17, 55518

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data