Edit Project

Train-Test-Split for Freiburg Dataset in YOLOv7 Format

Object Detection

Dataset Versions

Try Pre-Trained Model
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
·
2 years ago
2023-07-20 12:07pm
v11
·
2 years ago
2023-07-20 12:07pm
v10
·
2 years ago
2023-07-20 12:07pm
v9
·
2 years ago
2023-07-20 12:07pm
v8
·
2 years ago
2023-07-20 12:07pm
v7
·
2 years ago
2023-07-20 12:07pm
v6
·
2 years ago
2023-07-20 12:07pm
v5
·
2 years ago
2023-07-20 12:07pm
v4
·
2 years ago
2023-07-20 12:01pm
v3
·
2 years ago
2023-07-19 3:24pm
v2
·
2 years ago
2023-07-19 12:18pm
v1
·
2 years ago
v2

2023-07-19 3:24pm

Generated on Jul 19, 2023
Download

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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.
Other Formats
Choose another format.

8879 Total Images

View All Images
Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image Annotation Visualization Dataset Image

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.

Similar Projects

See More
Train-Test-Split for Freiburg Dataset in YOLOv7 Format
Annotate
11 / 12
Show/hide annotations(H)
train
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

Tags

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

Attributes

VINEGAR0044_png.jpg

416x416
0.17MP

Updated Feb 27, 55561

11:35AM
GMT+00:00

Generated by Roboflow

Training Set

Annotation History

Loading...

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "ZodZ5pY5Ubm4eujXznxl"
    ],
    "destination": "e650553151e84060a7dd673e3d286976",
    "height": 416,
    "id": "yot8FltT8srUawfjh2CE",
    "label": [],
    "labels": [],
    "name": "VINEGAR0044_png.jpg",
    "numSteps": 0,
    "owner": "dmcSERm5MNhqYZfa8HUt8kj8ugs1",
    "preprocessing": [],
    "preprocessingParsed": [],
    "source": "yot8FltT8srUawfjh2CE",
    "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": 1691173596908,
    "updatedDate": "Feb 27, 55561",
    "updatedTime": "11:35AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "ZodZ5pY5Ubm4eujXznxl/1",
        "ZodZ5pY5Ubm4eujXznxl/19",
        "ZodZ5pY5Ubm4eujXznxl/2",
        "ZodZ5pY5Ubm4eujXznxl/20",
        "ZodZ5pY5Ubm4eujXznxl/21"
    ],
    "width": 416
}

Annotation Data

{
    "boxes": [
        {
            "label": "vinegar",
            "x": 108.5,
            "y": 205.5,
            "width": 213,
            "height": 409
        },
        {
            "label": "vinegar",
            "x": 248.5,
            "y": 210.5,
            "width": 223,
            "height": 409
        }
    ],
    "height": 416,
    "key": "VINEGAR0044_png_jpg.rf.097b3ccad3922cf6e03fe92f64579fb9.jpg",
    "width": 416
}

Annotation Editor

Delete
Save (Enter)

Smart Polygon

Click inside to remove area or outside to expand.
Undo
Redo
Simplify
Simple Complex
Delete
Finish (Enter)
270%
Reset