chanterelle_03.jpg > North American Mushrooms - 416x416augmented

North American Mushrooms Dataset 416x416augmented

Export Created

4 years ago

April 30, 2021

Export Size

256 images

Annotations

mushroom

Available Download Formats

COCO JSON
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Common XML annotation format for local data munging (pioneered by ImageNet).
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CSV format used with Tensorflow (usually converted before training so you probably want to export as a TFRecord instead unless you need to inspect the human-readable CSV).
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Tensorflow TFRecord

Preview

Train/Test Split

Your images are split at upload time. Learn more.

Train
246246
Valid
55
Test
55

Preprocessing Options

Applied to all images in dataset

Auto-Orient

Resize

Stretch to 416x416

Preprocessing can decrease training time and increase inference speed. Learn more on our blog.

Augmentation Output

Save

For each image in your training set, how many augmented versions do you want to generate?

(Starter Plan Max: 3)

Size: 256 images.

Augmentation Options

Randomly applied to images in your training set

Crop

0% Minimum Zoom, 10% Maximum Zoom

Rotation

Between -15° and +15°

Brightness

Between -10% and +10%

Exposure

Between -7% and +7%

Mosaic

Augmentations create new training examples for your model to learn from. Learn more on our blog.

North American Mushrooms
Annotate
chanterelle_03.jpg
Show/hide annotations(H)
test
Labels
Attributes
Raw Data
Ground Truth
Model Predictions
Ground Truth Boxes
 
chanterelle
2

Since this image is a processed & augmented version of the original image, you can't modify annotations here.

Attributes

chanterelle_03.jpg

416x416
0.17MP

Updated Apr 30, 2021

4:20PM
GMT+00:00

Generated by Roboflow

Testing Set

Train 80%
Valid 10%
Test 10%

Transforms

Auto-Orient Applied
Resize Stretch to 416x416

Annotation History

Loading...

Raw Data

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    "camera": "Generated by Roboflow",
    "datasets": [
        "qc3mRx4wklFTCtxeb0mi"
    ],
    "destination": "cd892d2f06d228ba20d194fc360320fc",
    "height": 416,
    "id": "QyuUdubkLg0zcZ6zylgI",
    "label": [],
    "labels": [],
    "name": "chanterelle_03.jpg",
    "numSteps": 2,
    "owner": "Un6Oj918VoacT7AE2ql63T5q4ft1",
    "predictionBoxes": [
        {
            "color": "#8622FF",
            "label": "chanterelle",
            "x": 87.5,
            "y": 273,
            "width": 119,
            "height": 204
        },
        {
            "color": "#8622FF",
            "label": "chanterelle",
            "x": 225.5,
            "y": 235.5,
            "width": 231,
            "height": 305
        },
        {
            "color": "#8622FF",
            "label": "chanterelle",
            "x": 149,
            "y": 301,
            "width": 82,
            "height": 162
        }
    ],
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",416,416]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 416x416"
        }
    ],
    "source": "QyuUdubkLg0zcZ6zylgI",
    "split": "test",
    "split.qc3mRx4wklFTCtxeb0mi.1": "test",
    "split.qc3mRx4wklFTCtxeb0mi.2": "test",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",416,416]\"\n]",
    "updated": {
        "_seconds": 1619799619,
        "_nanoseconds": 871000000
    },
    "updatedDate": "Apr 30, 2021",
    "updatedTime": "4:20PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "qc3mRx4wklFTCtxeb0mi/1",
        "qc3mRx4wklFTCtxeb0mi/2"
    ],
    "width": 416
}
{
    "boxes": [
        {
            "label": "chanterelle",
            "x": 84.5,
            "y": 274,
            "width": 121,
            "height": 196
        },
        {
            "label": "chanterelle",
            "x": 233.5,
            "y": 240,
            "width": 220.5,
            "height": 319.5
        }
    ],
    "height": 416,
    "key": "chanterelle_03_jpg.rf.3bacc5a994feb8dcc38dbf545c1eed09.jpg",
    "width": 416
}

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