Dataset Versions

v4

2023-09-04 9:30pm

Generated on Sep 4, 2023

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.

Dataset Split

Train Set 96%
2841Images
Valid Set 4%
127Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Hue: Between -25° and +25°
Brightness: Between -10% and +10%
Noise: Up to 3% of pixels

Similar Projects

See More
Bounding Box for Tree Components
Annotate
Show/hide annotations(H)
train
Labels
Attributes
Raw Data

Annotations

Group:
budleBranch-monopodialBranch-tree-knot-crown-root-frut

Classes

Layers

 
crown
1
 
knot
3
 
root
1

Unused Classes

bundle_branch
frut
monopodial_branch

Tags

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

Attributes

-_-2_-_80_analog_tree_20220916105945.png

1280x1280
1.64MP

Updated May 10, 55645

3:21AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 1280x1280
Grayscale Applied
Rotation -10°
Hue 15°
Brightness 4%
Noise 3%

Annotation History

Loading...

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "classes": {
        "bundle_branch": 441,
        "crown": 1023,
        "frut": 2648,
        "knot": 902,
        "monopodial_branch": 832,
        "root": 302
    },
    "datasets": [
        "f0bDvGd87nhi6HGNndVB"
    ],
    "destination": "42d6aeb8a5e6ee424ef6963d55facb28",
    "height": 1280,
    "id": "dxSd44R4efHuK5ycHUwi",
    "label": [],
    "labels": [],
    "name": "-_-2_-_80_analog_tree_20220916105945.png",
    "numSteps": 7,
    "owner": "UqfZaBXoZFLpjv7kRqm3",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",1280,1280]",
        "grayscale",
        "rotate:[-10]",
        "hue:[15]",
        "brightness:[4]",
        "noise:[3,910388]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 1280x1280"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "-10°"
        },
        {
            "name": "Hue",
            "value": "15°"
        },
        {
            "name": "Brightness",
            "value": "4%"
        },
        {
            "name": "Noise",
            "value": "3%"
        }
    ],
    "source": "dxSd44R4efHuK5ycHUwi",
    "split": "train",
    "split.f0bDvGd87nhi6HGNndVB.4": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",1280,1280]\",\n    \"grayscale\",\n    \"rotate:[-10]\",\n    \"hue:[15]\",\n    \"brightness:[4]\",\n    \"noise:[3,910388]\"\n]",
    "updated": 1693830626475,
    "updatedDate": "May 10, 55645",
    "updatedTime": "3:21AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "f0bDvGd87nhi6HGNndVB/4"
    ],
    "width": 1280
}
                            
                            

Annotation Data

{
    "boxes": [
        {
            "label": "knot",
            "x": 472.5,
            "y": 829,
            "width": 56,
            "height": 86
        },
        {
            "label": "knot",
            "x": 468,
            "y": 958,
            "width": 91,
            "height": 144
        },
        {
            "label": "knot",
            "x": 560,
            "y": 914,
            "width": 73,
            "height": 124
        },
        {
            "label": "crown",
            "x": 633.5,
            "y": 537.5,
            "width": 610,
            "height": 666
        },
        {
            "label": "root",
            "x": 485,
            "y": 1145,
            "width": 319,
            "height": 195
        }
    ],
    "height": 1280,
    "key": "글로벌 리더_글로벌2_신윤우_80_analog_tree_20220916105945.png",
    "width": 1280
}
                                

                                

Annotation Editor

Delete
Save (Enter)

Smart Polygon

Click inside to remove area or outside to expand.
Undo
Redo
Simplify
Simple Complex
Delete
Finish (Enter)
80%
Reset