Dataset Versions

Try Pre-Trained Model
Versions
2023-05-07 11:09am
v2
·
2 years ago
2023-05-06 11:00pm
v1
·
2 years ago
v2

2023-05-07 11:09am

Generated on May 6, 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.

4055 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 88%
3549Images
Valid Set 8%
337Images
Test Set 4%
169Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 600x600

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 4px
Bounding Box: Noise: Up to 10% of pixels

Similar Projects

See More
Fruit Detection and Classification
Annotate
1 / 13
Show/hide annotations(H)
train
Labels
Attributes
Raw Data

Annotations

Group:
Fruits

Classes

Layers

 
apple
2
 
pear
2

Unused Classes

banana
orange

Tags

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

Attributes

1935.jpg

600x600
0.36MP

Updated Apr 14, 55315

4:07PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Crop Keep 81%
Centered on 67%, 63%
Resize Stretch to 600x600
Flip Applied Per Bounding Box
Exposure Applied Per Bounding Box
Blur Applied Per Bounding Box
Noise Applied Per Bounding Box
90° Rotate Applied
Grayscale Applied
Saturation 9%
Brightness 11%

Annotation History

Loading...

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "KYWDLXDmCvnF2zHYXP16"
    ],
    "destination": "d0800363765423137ffb0b54b1a773ce",
    "height": 600,
    "id": "S2LKDv6Q4MfGlPhjRisb",
    "label": [],
    "labels": [],
    "name": "1935.jpg",
    "numSteps": 11,
    "owner": "zp57kpgbSdeCrNDIQZXRWyXuPp32",
    "preprocessing": [
        "auto-orient",
        "crop:[81,0.673572,0.625889]",
        "resize:[\"Stretch to\",600,600]",
        "flip:[[\"vertical\"],[\"vertical\"],[\"vertical\"],[\"both\"]]",
        "exposure:[[0],[-15],[20],[-22]]",
        "blur:[[3.5],[0.5],[1.75],[3.5]]",
        "noise:[[1.5,407565],[4,532377],[4.5,949617],[9.75,233522]]",
        "ninety:[-90]",
        "grayscale",
        "saturation:[9]",
        "brightness:[11]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Crop",
            "value": "Keep 81%<br />Centered on 67%, 63%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 600x600"
        },
        {
            "name": "Flip",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Exposure",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Blur",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Noise",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Saturation",
            "value": "9%"
        },
        {
            "name": "Brightness",
            "value": "11%"
        }
    ],
    "source": "S2LKDv6Q4MfGlPhjRisb",
    "split": "train",
    "split.KYWDLXDmCvnF2zHYXP16.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"crop:[81,0.673572,0.625889]\",\n    \"resize:[\\\"Stretch to\\\",600,600]\",\n    \"flip:[[\\\"vertical\\\"],[\\\"vertical\\\"],[\\\"vertical\\\"],[\\\"both\\\"]]\",\n    \"exposure:[[0],[-15],[20],[-22]]\",\n    \"blur:[[3.5],[0.5],[1.75],[3.5]]\",\n    \"noise:[[1.5,407565],[4,532377],[4.5,949617],[9.75,233522]]\",\n    \"ninety:[-90]\",\n    \"grayscale\",\n    \"saturation:[9]\",\n    \"brightness:[11]\"\n]",
    "updated": 1683414547664,
    "updatedDate": "Apr 14, 55315",
    "updatedTime": "4:07PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "KYWDLXDmCvnF2zHYXP16/2"
    ],
    "width": 600
}

Annotation Data

{
    "boxes": [
        {
            "label": "pear",
            "x": 214.5,
            "y": 387,
            "width": 379,
            "height": 182
        },
        {
            "label": "pear",
            "x": 147.5,
            "y": 221,
            "width": 295,
            "height": 186
        },
        {
            "label": "apple",
            "x": 484.5,
            "y": 258.5,
            "width": 231,
            "height": 205
        },
        {
            "label": "apple",
            "x": 352,
            "y": 67.5,
            "width": 134,
            "height": 93
        }
    ],
    "height": 600,
    "key": "1935.jpg",
    "width": 600
}

Annotation Editor

Delete
Save (Enter)

Smart Polygon

Click inside to remove area or outside to expand.
Undo
Redo
Simplify
Simple Complex
Delete
Finish (Enter)
190%
Reset