Dataset Versions

Try Pre-Trained Model
Versions
YOLOv8 trained with dataset v3
v15
·
a year ago
YOLOv5 Simulate dataset v3
v11
·
a year ago
YOLOv5 Simulate dataset v8
v10
·
a year ago
YOLOv8 simulate dataset v8
v9
·
a year ago
dataset_1399_images
v8
·
a year ago
YOLOv8 data_3504images
v7
·
a year ago
data_973images
v6
·
a year ago
data_800images
v5
·
a year ago
dataset_471_images
v3
·
a year ago
classfication_dataset
v2
·
a year ago
2023-11-26 5:27pm
v1
·
a year ago
v15

YOLOv8 trained with dataset v3

Generated on Jan 10, 2024
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.

1399 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 63%
883Images
Valid Set 21%
299Images
Test Set 16%
217Images

Preprocessing

Auto-Orient: Applied

Augmentations

No augmentations were applied.

Similar Projects

See More
CV_asssignment_pizza_dataset
Annotate
1 / 13
Show/hide annotations(H)
train
Labels
Attributes
Raw Data

Annotations

Group:
pizza

Classes

Layers

 
Basil
7
 
pizza
1

Unused Classes

Ham
Mushroom
Olive
Pepperoni
Tomato
`

Tags

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

Attributes

00395.jpg

1080x1080
1.17MP

Updated Aug 2, 55996

12:03AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied

Annotation History

Loading...

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "JBeugYWCRaLzrL7zY2wh"
    ],
    "destination": "ea3b410b06dddc636e849cf435f1219f",
    "height": 1080,
    "id": "OIaAOWl96dShOI6n0tzW",
    "label": [],
    "labels": [],
    "name": "00395.jpg",
    "numSteps": 1,
    "owner": "QrwJZACEUyaPWhBoAHgjCGQQVeq2",
    "preprocessing": [
        "auto-orient"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        }
    ],
    "source": "OIaAOWl96dShOI6n0tzW",
    "split": "train",
    "split.JBeugYWCRaLzrL7zY2wh.15": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\"\n]",
    "updated": 1704914352234,
    "updatedDate": "Aug 2, 55996",
    "updatedTime": "12:03AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "JBeugYWCRaLzrL7zY2wh/15"
    ],
    "width": 1080
}

Annotation Data

{
    "boxes": [
        {
            "label": "pizza",
            "x": 540,
            "y": 571.67,
            "width": 1080,
            "height": 903.3300000000002
        },
        {
            "label": "Basil",
            "x": 510.55999999999995,
            "y": 312.22,
            "width": 132.21999999999997,
            "height": 106.66999999999996
        },
        {
            "label": "Basil",
            "x": 317.78,
            "y": 444.44,
            "width": 102.22000000000003,
            "height": 77.77999999999997
        },
        {
            "label": "Basil",
            "x": 592.22,
            "y": 456.67,
            "width": 142.22000000000003,
            "height": 131.11
        },
        {
            "label": "Basil",
            "x": 305,
            "y": 701.67,
            "width": 43.33000000000004,
            "height": 107.77999999999997
        },
        {
            "label": "Basil",
            "x": 584.44,
            "y": 662.78,
            "width": 86.67000000000007,
            "height": 83.32999999999993
        },
        {
            "label": "Basil",
            "x": 804.44,
            "y": 636.11,
            "width": 184.44000000000005,
            "height": 218.8900000000001
        },
        {
            "label": "Basil",
            "x": 767.22,
            "y": 386.67,
            "width": 87.77999999999997,
            "height": 66.66999999999996
        }
    ],
    "height": 1080,
    "key": "00395.jpg",
    "width": 1080
}

Annotation Editor

Delete
Save (Enter)

Smart Polygon

Click inside to remove area or outside to expand.
Undo
Redo
Simplify
Simple Complex
Delete
Finish (Enter)
110%
Reset