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container damage detection 4(only DAMAGE classes)

Object Detection

Dataset Versions

2023-07-20 9:49pm

2 years ago

2023-07-20 8:39pm

2 years ago

2023-07-20 8:39pm

Generated on Jul 20, 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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3337 Total Images

View All Images

Dataset Split

Train Set 91%

3039Images

Valid Set 7%

219Images

Test Set 2%

79Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Modify Classes: 0 remapped, 6 dropped

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

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

Rotation: Between -15° and +15°

Shear: ±15° Horizontal, ±15° Vertical

Grayscale: Apply to 25% of images

Brightness: Between -25% and +25%

Exposure: Between -25% and +25%

Blur: Up to 2.5px

Noise: Up to 8% of pixels

Similar Projects

Annotations

Group:

container-damage

76da35c0-DSC09687_JPG_counter_024.jpg

640x640

0.41MP

Updated Sep 19, 55519

7:41AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Modify Classes

Applied

90° Rotate

Applied

Rotation

4°

Shear

X: 9°
Y: 4°

Brightness

11%

Exposure

Blur

1.25px

Noise

0.5%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "2JukqjzVFn4rcqXToVGj"
    ],
    "destination": "4b637d7f52c82c2269318ee683d18ca2",
    "height": 640,
    "id": "v7xoq5JWRQKsZNdeuXRm",
    "label": [],
    "labels": [],
    "name": "76da35c0-DSC09687_JPG_counter_024.jpg",
    "numSteps": 10,
    "owner": "mJw79DIZHrOcTadQSl4IBFLzmFg1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "remap:[\"e177851dfbceea290a92abfb0af1a9b9\"]",
        "ninety:[0]",
        "rotate:[4]",
        "shear:[9,4]",
        "brightness:[11]",
        "exposure:[2]",
        "blur:[1.25]",
        "noise:[0.5,811890]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Modify Classes",
            "value": "Applied"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "4°"
        },
        {
            "name": "Shear",
            "value": "X: 9°<br/>Y: 4°"
        },
        {
            "name": "Brightness",
            "value": "11%"
        },
        {
            "name": "Exposure",
            "value": "2%"
        },
        {
            "name": "Blur",
            "value": "1.25px"
        },
        {
            "name": "Noise",
            "value": "0.5%"
        }
    ],
    "source": "v7xoq5JWRQKsZNdeuXRm",
    "split": "train",
    "split.2JukqjzVFn4rcqXToVGj.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"remap:[\\\"e177851dfbceea290a92abfb0af1a9b9\\\"]\",\n    \"ninety:[0]\",\n    \"rotate:[4]\",\n    \"shear:[9,4]\",\n    \"brightness:[11]\",\n    \"exposure:[2]\",\n    \"blur:[1.25]\",\n    \"noise:[0.5,811890]\"\n]",
    "updated": 1689865746116,
    "updatedDate": "Sep 19, 55519",
    "updatedTime": "7:41AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "2JukqjzVFn4rcqXToVGj/1"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "DAMAGE - MINOR DENT",
            "x": 500.3285847123813,
            "y": 189.4281518525782,
            "width": 218.71808159129012,
            "height": 323.70160218782235
        }
    ],
    "height": 640,
    "key": "76da35c0-DSC09687_JPG.rf.c7e85058b3ea78f7edc38e4593ead18a_counter_024.jpg",
    "width": 640
}

container damage detection 4(only DAMAGE classes)

Dataset Versions

2023-07-20 8:39pm

Popular Download Formats

3337 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

76da35c0-DSC09687_JPG_counter_024.jpg

Updated Sep 19, 55519

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data