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pallet damage classification

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-08-21 9:57am

2 years ago

2023-08-21 9:57am

Generated on Aug 21, 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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274 Total Images

View All Images

Dataset Split

Train Set 88%

240Images

Valid Set 8%

23Images

Test Set 4%

11Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

Crop: 0% Minimum Zoom, 20% Maximum Zoom

Shear: ±15° Horizontal, ±15° Vertical

Grayscale: Apply to 25% of images

Similar Projects

Annotations

Group: damaged-pallet

good pallet

Unused Classes

dismantle pallet

repair pallet

Attributes

IMG-20230730-WA0081.jpg

640x640

0.41MP

Updated Feb 9, 55606

12:06AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Crop

Keep 94%
Centered on 23%, 24%

Resize

Stretch to 640x640

Flip

Both

Shear

X: 3°
Y: -15°

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "qCADjfLdSae9MOeFOWYK"
    ],
    "destination": "98d000a54798693a2547cd2bb5112bd6",
    "height": 640,
    "id": "0o3tLYZVsVM11A1BOiMx",
    "label": [],
    "labels": [],
    "name": "IMG-20230730-WA0081.jpg",
    "numSteps": 5,
    "owner": "KRIkapbkNCM2Yp47IWuxDqZqz6H3",
    "preprocessing": [
        "auto-orient",
        "crop:[94,0.2336,0.237104]",
        "resize:[\"Stretch to\",640,640]",
        "flip:[\"both\"]",
        "shear:[3,-15]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Crop",
            "value": "Keep 94%<br />Centered on 23%, 24%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Flip",
            "value": "Both"
        },
        {
            "name": "Shear",
            "value": "X: 3°<br/>Y: -15°"
        }
    ],
    "source": "0o3tLYZVsVM11A1BOiMx",
    "split": "train",
    "split.qCADjfLdSae9MOeFOWYK.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"crop:[94,0.2336,0.237104]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[\\\"both\\\"]\",\n    \"shear:[3,-15]\"\n]",
    "updated": 1692592070807,
    "updatedDate": "Feb 9, 55606",
    "updatedTime": "12:06AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "qCADjfLdSae9MOeFOWYK/1"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "type": "polygon",
            "label": "good pallet",
            "x": 230.447019,
            "y": 223.7140465,
            "width": 163.39966400000003,
            "height": 116.18793500000001,
            "points": [
                [
                    260.059416,
                    165.620079
                ],
                [
                    148.747187,
                    180.550038
                ],
                [
                    213.72773,
                    281.808014
                ],
                [
                    312.146851,
                    267.305131
                ],
                [
                    260.059416,
                    165.620079
                ]
            ]
        },
        {
            "type": "polygon",
            "label": "good pallet",
            "x": 85.4559005,
            "y": 221.8683125,
            "width": 162.484071,
            "height": 83.582405,
            "points": [
                [
                    7.672952,
                    212.100664
                ],
                [
                    4.213865,
                    231.611501
                ],
                [
                    106.674109,
                    263.659515
                ],
                [
                    159.900909,
                    239.378463
                ],
                [
                    166.697936,
                    219.472543
                ],
                [
                    65.145659,
                    180.07711
                ],
                [
                    7.672952,
                    212.100664
                ]
            ]
        }
    ],
    "height": 640,
    "key": "IMG-20230730-WA0081.jpg",
    "width": 640
}

pallet damage classification

Dataset Versions

2023-08-21 9:57am

Popular Download Formats

274 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Attributes

IMG-20230730-WA0081.jpg

Updated Feb 9, 55606

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data