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des maladies pulmonaires

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-06-24 5:51pm

9 months ago

2024-06-24 5:51pm

Generated on Jun 24, 2024

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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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2744 Total Images

View All Images

Dataset Split

Train Set 92%

2535Images

Valid Set 4%

104Images

Test Set 4%

105Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

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

Crop: 0% Minimum Zoom, 20% Maximum Zoom

Shear: ±10° Horizontal, ±10° Vertical

Saturation: Between -25% and +25%

Brightness: Between -22% and +22%

Blur: Up to 3.8px

Noise: Up to 1.96% of pixels

Similar Projects

Annotations

Group: Normal-case

Normal-case

Unused Classes

malignant-case

Attributes

Normal-case-154-.jpg

640x640

0.41MP

Updated Nov 29, 56450

10:57AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Crop

Keep 85%
Centered on 64%, 14%

Resize

Stretch to 640x640

Auto-Adjust Contrast

Contrast Stretching

Flip

Both

90° Rotate

Applied

Shear

X: -10°
Y: -1°

Saturation

18%

Brightness

21%

Blur

2px

Noise

0.46%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "RfC8W0pvqRzLHm0g8IrQ"
    ],
    "destination": "fbd19ab1a9228ca378177bf347dabd37",
    "height": 640,
    "id": "vp0sZ50eQTpM1dk1CwWq",
    "label": [],
    "labels": [],
    "name": "Normal-case-154-.jpg",
    "numSteps": 11,
    "owner": "Q0BMqQLRu8SI6e7vomDxgB8sbMB3",
    "preprocessing": [
        "auto-orient",
        "crop:[85,0.641126,0.136268]",
        "resize:[\"Stretch to\",640,640]",
        "auto-contrast:[\"Contrast Stretching\"]",
        "flip:[\"both\"]",
        "ninety:[180]",
        "shear:[-10,-1]",
        "saturation:[18]",
        "brightness:[21]",
        "blur:[2]",
        "noise:[0.46,528439]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Crop",
            "value": "Keep 85%<br />Centered on 64%, 14%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Contrast Stretching"
        },
        {
            "name": "Flip",
            "value": "Both"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Shear",
            "value": "X: -10°<br/>Y: -1°"
        },
        {
            "name": "Saturation",
            "value": "18%"
        },
        {
            "name": "Brightness",
            "value": "21%"
        },
        {
            "name": "Blur",
            "value": "2px"
        },
        {
            "name": "Noise",
            "value": "0.46%"
        }
    ],
    "source": "vp0sZ50eQTpM1dk1CwWq",
    "split": "train",
    "split.RfC8W0pvqRzLHm0g8IrQ.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"crop:[85,0.641126,0.136268]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"auto-contrast:[\\\"Contrast Stretching\\\"]\",\n    \"flip:[\\\"both\\\"]\",\n    \"ninety:[180]\",\n    \"shear:[-10,-1]\",\n    \"saturation:[18]\",\n    \"brightness:[21]\",\n    \"blur:[2]\",\n    \"noise:[0.46,528439]\"\n]",
    "updated": 1719251521041,
    "updatedDate": "Nov 29, 56450",
    "updatedTime": "10:57AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "RfC8W0pvqRzLHm0g8IrQ/1"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Normal-case",
            "x": 320,
            "y": 320,
            "width": 640,
            "height": 640
        }
    ],
    "height": 640,
    "key": "Normal case (154).jpg",
    "width": 640
}

des maladies pulmonaires

Dataset Versions

2024-06-24 5:51pm

Popular Download Formats

2744 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Attributes

Normal-case-154-.jpg

Updated Nov 29, 56450

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data