Fruits Classification Dataset resize-512x512-reflect

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5 years ago

April 06, 2020

Export Size

2911 images

Annotations

fruit

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Train/Test Split

Your images are split at upload time. Learn more.

Train
29092909
Valid
00
Test
00

Preprocessing Options

Applied to all images in dataset

Auto-Orient

Resize

Fit (reflect edges) in 512x512

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

Augmentation Options

Randomly applied to images in your training set

No augmentation steps were applied.

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

Fruits Dataset
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train
Labels
Attributes
Raw Data

Annotations

Group:
fruit

Classes

 
Tomato 4
0

Unused Classes

Tomato 3
Tomato Cherry Red
Tomato Maroon
Tomato Yellow
Walnut

Tags

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Attributes

r_24_100.jpg

512x512
0.26MP

Updated Jun 12, 52233

6:21PM
GMT+00:00

Generated by Roboflow

Training Set

Train 100%

Transforms

Auto-Orient Applied
Resize Fit (reflect edges) in 512x512

Annotation History

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Raw Data

Source Data

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    "destination": "a2a36895f3cb094ce2022009fcf9efc9",
    "height": 512,
    "id": "ERLs4lujVj3kgvC5m9iV",
    "label": [
        "Tomato 4"
    ],
    "labels": [
        "Tomato 4"
    ],
    "name": "r_24_100.jpg",
    "numSteps": 2,
    "owner": "Ly2DeBzbwsemGd2ReHk4BFxy8683",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Fit (reflect edges) in\",512,512]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Fit (reflect edges) in 512x512"
        }
    ],
    "source": "ERLs4lujVj3kgvC5m9iV",
    "split": "train",
    "split.cBFzpOgmGoWkL65bIQZ1.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Fit (reflect edges) in\\\",512,512]\"\n]",
    "updated": 1586161160508,
    "updatedDate": "Jun 12, 52233",
    "updatedTime": "6:21PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "cBFzpOgmGoWkL65bIQZ1/1"
    ],
    "width": 512
}
                            
                            

Annotation Data

{
    "boxes": [],
    "height": 512,
    "key": "r_24_100.jpg",
    "width": 512
}
                                

                                
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