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Train-Test-Split for Freiburg Dataset in YOLOv7 Format

Object Detection

Dataset Versions

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Versions
2023-08-04 1:26pm
v21
·
2 years ago
2023-07-31 1:28pm
v20
·
2 years ago
RGB416x416
v19
·
2 years ago
RGB96x96
v18
·
2 years ago
2023-07-22 6:30pm
v17
·
2 years ago
2023-07-22 6:30pm
v16
·
2 years ago
gray80x80
v15
·
2 years ago
2023-07-20 12:07pm
v14
·
2 years ago
2023-07-20 12:07pm
v13
·
2 years ago
2023-07-20 12:07pm
v12
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2 years ago
2023-07-20 12:07pm
v11
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2 years ago
2023-07-20 12:07pm
v10
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2 years ago
2023-07-20 12:07pm
v9
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2 years ago
2023-07-20 12:07pm
v8
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2 years ago
2023-07-20 12:07pm
v7
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2 years ago
2023-07-20 12:07pm
v6
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2 years ago
2023-07-20 12:07pm
v5
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2 years ago
2023-07-20 12:07pm
v4
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2 years ago
2023-07-20 12:01pm
v3
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2 years ago
2023-07-19 3:24pm
v2
·
2 years ago
2023-07-19 12:18pm
v1
·
2 years ago
v15

gray80x80

Generated on Jul 20, 2023
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8879 Total Images

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Dataset Split

Train Set 80%
7107Images
Valid Set 10%
884Images
Test Set 10%
888Images

Preprocessing

Resize: Stretch to 80x80
Grayscale: Applied

Augmentations

No augmentations were applied.

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Train-Test-Split for Freiburg Dataset in YOLOv7 Format
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train
Labels
Attributes
Raw Data

Annotations

Group:
Groceries

Classes

Layers

 
cake
3

Unused Classes

beans
candy
cereal
chips
chocolate
coffee
corn
fish
flour
honey
jam
juice
milk
nuts
oil
pasta
rice
soda
spices
sugar
tea
tomato_sauce
vinegar
water

Tags

No Tags Applied
Type and select tags below to add them to the image.

Attributes

CAKE0113_png.jpg

80x80
0.01MP

Updated Dec 12, 55519

11:33AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Resize Stretch to 80x80
Grayscale Applied

Annotation History

Loading...

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "ZodZ5pY5Ubm4eujXznxl"
    ],
    "destination": "581050c8870c96dca1acf8e871ede1a0",
    "height": 80,
    "id": "8vEwHQGghu0MkWrbgvP4",
    "label": [],
    "labels": [],
    "name": "CAKE0113_png.jpg",
    "numSteps": 2,
    "owner": "dmcSERm5MNhqYZfa8HUt8kj8ugs1",
    "preprocessing": [
        "resize:[\"Stretch to\",80,80]",
        "grayscale"
    ],
    "preprocessingParsed": [
        {
            "name": "Resize",
            "value": "Stretch to 80x80"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        }
    ],
    "source": "8vEwHQGghu0MkWrbgvP4",
    "split": "train",
    "split.ZodZ5pY5Ubm4eujXznxl.15": "train",
    "status": "generated",
    "transforms": "[\n    \"resize:[\\\"Stretch to\\\",80,80]\",\n    \"grayscale\"\n]",
    "updated": 1689873017637,
    "updatedDate": "Dec 12, 55519",
    "updatedTime": "11:33AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "ZodZ5pY5Ubm4eujXznxl/15"
    ],
    "width": 80
}

Annotation Data

{
    "boxes": [
        {
            "label": "cake",
            "x": 51.5,
            "y": 50,
            "width": 47.5,
            "height": 58.5
        },
        {
            "label": "cake",
            "x": 22,
            "y": 41,
            "width": 43,
            "height": 69
        },
        {
            "label": "cake",
            "x": 65.5,
            "y": 17,
            "width": 28.5,
            "height": 27.5
        }
    ],
    "height": 80,
    "key": "CAKE0113_png_jpg.rf.20f5eec16f35958fbf46f867b6a5cd5d.jpg",
    "width": 80
}

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