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Train-Test-Split for Freiburg Dataset in YOLOv7 Format

Object Detection

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2023-08-04 1:26pm
v21
·
2 years ago
2023-07-31 1:28pm
v20
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2 years ago
RGB416x416
v19
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2 years ago
RGB96x96
v18
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2 years ago
2023-07-22 6:30pm
v17
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2 years ago
2023-07-22 6:30pm
v16
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2 years ago
gray80x80
v15
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2 years ago
2023-07-20 12:07pm
v14
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2 years ago
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2023-07-20 12:07pm
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2023-07-20 12:07pm
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2023-07-20 12:07pm
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2023-07-20 12:07pm
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2023-07-20 12:07pm
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2023-07-20 12:07pm
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2023-07-20 12:07pm
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2023-07-20 12:01pm
v3
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2 years ago
2023-07-19 3:24pm
v2
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2 years ago
2023-07-19 12:18pm
v1
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2 years ago
v2

2023-07-19 3:24pm

Generated on Jul 19, 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

No preprocessing steps were applied.

Augmentations

No augmentations were applied.

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

Annotations

Group:
Groceries

Classes

Layers

 
vinegar
2

Unused Classes

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

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Attributes

VINEGAR0152_png.jpg

416x416
0.17MP

Updated Feb 27, 55561

11:34AM
GMT+00:00

Generated by Roboflow

Training Set

Annotation History

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Raw Data

Source Data

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    "datasets": [
        "ZodZ5pY5Ubm4eujXznxl"
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    "destination": "fa5bdacad81c50be7213470834ed2822",
    "height": 416,
    "id": "JNHahxfIBf3iH24GnTCR",
    "label": [],
    "labels": [],
    "name": "VINEGAR0152_png.jpg",
    "numSteps": 0,
    "owner": "dmcSERm5MNhqYZfa8HUt8kj8ugs1",
    "preprocessing": [],
    "preprocessingParsed": [],
    "source": "JNHahxfIBf3iH24GnTCR",
    "split": "train",
    "split.ZodZ5pY5Ubm4eujXznxl.1": "train",
    "split.ZodZ5pY5Ubm4eujXznxl.19": "train",
    "split.ZodZ5pY5Ubm4eujXznxl.2": "train",
    "split.ZodZ5pY5Ubm4eujXznxl.20": "train",
    "split.ZodZ5pY5Ubm4eujXznxl.21": "train",
    "status": "generated",
    "transforms": "[]",
    "updated": 1691173596863,
    "updatedDate": "Feb 27, 55561",
    "updatedTime": "11:34AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "ZodZ5pY5Ubm4eujXznxl/1",
        "ZodZ5pY5Ubm4eujXznxl/19",
        "ZodZ5pY5Ubm4eujXznxl/2",
        "ZodZ5pY5Ubm4eujXznxl/20",
        "ZodZ5pY5Ubm4eujXznxl/21"
    ],
    "width": 416
}

Annotation Data

{
    "boxes": [
        {
            "label": "vinegar",
            "x": 157.5,
            "y": 199.5,
            "width": 191,
            "height": 399
        },
        {
            "label": "vinegar",
            "x": 283.5,
            "y": 190.5,
            "width": 169,
            "height": 381
        }
    ],
    "height": 416,
    "key": "VINEGAR0152_png_jpg.rf.b2ef53e71d40656f94b8f93af4765b13.jpg",
    "width": 416
}

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