Edit Project

kidney stone detection by labeling

Object Detection

Dataset Versions

Try Pre-Trained Model

v36

2023-06-23 4:14pm

Generated on Jun 23, 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.

Other Formats

Choose another format.

3888 Total Images

View All Images

Dataset Split

Train Set 92%

3578Images

Valid Set 4%

158Images

Test Set 4%

152Images

Preprocessing

Auto-Orient: Applied

Static Crop: 14-86% Horizontal Region, 14-86% Vertical Region

Resize: Stretch to 260x260

Grayscale: Applied

Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3

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

Grayscale: Apply to 100% of images

Bounding Box: Rotation: Between -45° and +45°

Bounding Box: Shear: ±45° Horizontal, ±45° Vertical

Bounding Box: Exposure: Between -50% and +50%

Similar Projects

Annotations

Group:

kidney-stone

kidimg-1540-.jpg

260x260

0.07MP

Updated Jul 28, 55445

9:20PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Static Crop

X: 14% to 86%
Y: 14% to 86%

Resize

Stretch to 260x260

Grayscale

Applied

Rotation

Applied Per Bounding Box

Shear

Applied Per Bounding Box

Exposure

Applied Per Bounding Box

90° Rotate

Applied

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "znzgRIFpbnYk0OPgptzs"
    ],
    "destination": "16e3e1b88644d28a7bcc763fae4a9ae2",
    "height": 260,
    "id": "3yFnFXqfXUXXOeWisO9k",
    "label": [],
    "labels": [],
    "name": "kidimg-1540-.jpg",
    "numSteps": 8,
    "owner": "h9zK5n6lbIfaQDgk18b7FkTCP083",
    "preprocessing": [
        "auto-orient",
        "static-crop:[14,86,14,86]",
        "resize:[\"Stretch to\",260,260]",
        "grayscale",
        "rotate:[[-17],[34],[31],[-39],[41],[-37],[-29],[40],[20],[3]]",
        "shear:[[-31,-25],[35,21],[30,-20],[29,-23],[-28,21],[40,-1],[16,-22],[-11,-22],[-35,-12],[43,-14]]",
        "exposure:[[24],[-47],[-19],[20],[17],[45],[-47],[44],[22],[-45]]",
        "ninety:[0]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 14% to 86%<br/>Y: 14% to 86%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 260x260"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Shear",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Exposure",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        }
    ],
    "source": "3yFnFXqfXUXXOeWisO9k",
    "split": "train",
    "split.znzgRIFpbnYk0OPgptzs.36": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[14,86,14,86]\",\n    \"resize:[\\\"Stretch to\\\",260,260]\",\n    \"grayscale\",\n    \"rotate:[[-17],[34],[31],[-39],[41],[-37],[-29],[40],[20],[3]]\",\n    \"shear:[[-31,-25],[35,21],[30,-20],[29,-23],[-28,21],[40,-1],[16,-22],[-11,-22],[-35,-12],[43,-14]]\",\n    \"exposure:[[24],[-47],[-19],[20],[17],[45],[-47],[44],[22],[-45]]\",\n    \"ninety:[0]\"\n]",
    "updated": 1687526083236,
    "updatedDate": "Jul 28, 55445",
    "updatedTime": "9:20PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "znzgRIFpbnYk0OPgptzs/36"
    ],
    "width": 260
}

Annotation Data

{
    "boxes": [
        {
            "label": "kidney-stone",
            "x": 183,
            "y": 101,
            "width": 12,
            "height": 14
        },
        {
            "label": "kidney-stone",
            "x": 167.5,
            "y": 103,
            "width": 7,
            "height": 6
        },
        {
            "label": "kidney-stone",
            "x": 173,
            "y": 129.5,
            "width": 6,
            "height": 6
        },
        {
            "label": "kidney-stone",
            "x": 192,
            "y": 91.5,
            "width": 4,
            "height": 3
        },
        {
            "label": "kidney-stone",
            "x": 189.5,
            "y": 97.5,
            "width": 5,
            "height": 5
        },
        {
            "label": "kidney-stone",
            "x": 148,
            "y": 103.5,
            "width": 6,
            "height": 5
        },
        {
            "label": "kidney-stone",
            "x": 168,
            "y": 110.5,
            "width": 4,
            "height": 3
        },
        {
            "label": "kidney-stone",
            "x": 144.5,
            "y": 111,
            "width": 3,
            "height": 4
        },
        {
            "label": "kidney-stone",
            "x": 127.5,
            "y": 114,
            "width": 9,
            "height": 12
        },
        {
            "label": "kidney-stone",
            "x": 156,
            "y": 89.5,
            "width": 6,
            "height": 4
        }
    ],
    "height": 260,
    "key": "kidimg (1540).jpg",
    "width": 260
}

kidney stone detection by labeling

Dataset Versions

2023-06-23 4:14pm

Popular Download Formats

3888 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

kidimg-1540-.jpg

Updated Jul 28, 55445

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data