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Detecting Pathholes In Realtime

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-07-21 2:42pm

8 months ago

2024-07-21 2:42pm

Generated on Jul 21, 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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1471 Total Images

View All Images

Dataset Split

Train Set 87%

1287Images

Valid Set 8%

123Images

Test Set 4%

61Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

Saturation: Between -25% and +25%

Blur: Up to 2.5px

Similar Projects

Annotations

Group: pathholes

pathholes

Attributes

istockphoto-1066691836-612x612.jpg

640x640

0.41MP

Updated Jun 22, 56524

5:29PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Flip

Both

Saturation

16%

Blur

1.75px

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "1XuWgfFCRDLWt3FsJ7dk"
    ],
    "destination": "76df3b02c87d9ad564c1fff6461180e4",
    "height": 640,
    "id": "8ML1gafk7IlU0i15wVFw",
    "label": [],
    "labels": [],
    "name": "istockphoto-1066691836-612x612.jpg",
    "numSteps": 5,
    "owner": "T8TwGVnjcnacgGjn0Jmy9CjbLHn1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "flip:[\"both\"]",
        "saturation:[16]",
        "blur:[1.75]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Flip",
            "value": "Both"
        },
        {
            "name": "Saturation",
            "value": "16%"
        },
        {
            "name": "Blur",
            "value": "1.75px"
        }
    ],
    "source": "8ML1gafk7IlU0i15wVFw",
    "split": "train",
    "split.1XuWgfFCRDLWt3FsJ7dk.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[\\\"both\\\"]\",\n    \"saturation:[16]\",\n    \"blur:[1.75]\"\n]",
    "updated": 1721572939763,
    "updatedDate": "Jun 22, 56524",
    "updatedTime": "5:29PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "1XuWgfFCRDLWt3FsJ7dk/1"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "pathholes",
            "x": 364.5,
            "y": 107,
            "width": 321,
            "height": 214
        },
        {
            "type": "polygon",
            "label": "pathholes",
            "x": 434.335512,
            "y": 411.6775595,
            "width": 406.68119,
            "height": 453.159041,
            "points": [
                [
                    616.761074,
                    509.281046
                ],
                [
                    542.396514,
                    516.252724
                ],
                [
                    477.327523,
                    455.250544
                ],
                [
                    547.044299,
                    310.588235
                ],
                [
                    612.11329,
                    185.098039
                ],
                [
                    468.031954,
                    256.557734
                ],
                [
                    335.57008,
                    296.644881
                ],
                [
                    316.978939,
                    249.586057
                ],
                [
                    272.824982,
                    347.189542
                ],
                [
                    263.529412,
                    439.56427
                ],
                [
                    230.994917,
                    519.738562
                ],
                [
                    277.472767,
                    594.684096
                ],
                [
                    342.541758,
                    638.25708
                ],
                [
                    465.708061,
                    584.22658
                ],
                [
                    614.437183,
                    547.625273
                ],
                [
                    637.676107,
                    524.96732
                ],
                [
                    616.761074,
                    509.281046
                ]
            ]
        },
        {
            "label": "pathholes",
            "x": 182,
            "y": 442,
            "width": 195,
            "height": 99.5
        }
    ],
    "height": 640,
    "key": "istockphoto-1066691836-612x612.jpg",
    "width": 640
}

Detecting Pathholes In Realtime

Dataset Versions

2024-07-21 2:42pm

Popular Download Formats

1471 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Attributes

istockphoto-1066691836-612x612.jpg

Updated Jun 22, 56524

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data