Eggplant and Weeds Detection

Object Detection

Dataset Versions

Try Pre-Trained Model

Augmented 3x -4 AGS - Reduced 1k - 320x320

Augmented 3x - Reduced 1k - 320x320

Raw - Reduced 1k - 320x320

Raw - Reduced 1k - 224x224

Augmented - Reduced 1k - 640x640

Raw - Reduced 1k - 640x640

Augmented - 1k - 640x640

Raw - 1k - 640x640

Raw - 320 x 320

Raw - 224 x 224

2nd Version - Augmented - 640x640

1st Version - Normal - 640x640

v2

2nd Version - Augmented - 640x640

Generated on Mar 4, 2024

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YOLOv11

TXT annotations and YAML config used with YOLOv11.

YOLOv9

TXT annotations and YAML config used with YOLOv9.

YOLOv8

TXT annotations and YAML config used with YOLOv8.

YOLOv5

TXT annotations and YAML config used with YOLOv5.

YOLOv7

TXT annotations and YAML config used with YOLOv7.

COCO JSON

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

YOLO Darknet

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Pascal VOC XML

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

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.

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1953 Total Images

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Dataset Split

Train Set 92%

1801Images

Valid Set 4%

76Images

Test Set 4%

76Images

Preprocessing

Auto-Orient: Applied

Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3

Rotation: Between -15° and +15°

Brightness: Between -25% and +0%

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Eggplant and Weeds Detection

Annotate

1 / 13

Show/hide annotations(H)

train

Labels

Attributes

Raw Data

Annotations

Group:

plants

Classes

Layers

Eggplant

1

Unused Classes

Weeds

Tags

No Tags Applied

Type and select tags below to add them to the image.

Attributes

00401-2-.jpg

640x640

0.41MP

Updated Oct 2, 56142

1:47PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Fit (black edges) in 640x640
Rotation	13°
Brightness	-20%

Annotation History

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Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "MuDEyCkAVN01OM6FXmNf"
    ],
    "destination": "fa68b3359c50536116e7beab4fc3add2",
    "height": 640,
    "id": "WrvvZhPjzbLTNGPtNhZR",
    "label": [],
    "labels": [],
    "name": "00401-2-.jpg",
    "numSteps": 4,
    "owner": "g7lvuPLgEaZBDtZBAIX1WbAKxkw2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Fit (black edges) in\",640,640]",
        "rotate:[13]",
        "brightness:[-20]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Fit (black edges) in 640x640"
        },
        {
            "name": "Rotation",
            "value": "13°"
        },
        {
            "name": "Brightness",
            "value": "-20%"
        }
    ],
    "source": "WrvvZhPjzbLTNGPtNhZR",
    "split": "train",
    "split.MuDEyCkAVN01OM6FXmNf.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Fit (black edges) in\\\",640,640]\",\n    \"rotate:[13]\",\n    \"brightness:[-20]\"\n]",
    "updated": 1709526952038,
    "updatedDate": "Oct 2, 56142",
    "updatedTime": "1:47PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "MuDEyCkAVN01OM6FXmNf/2"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Eggplant",
            "x": 330.5,
            "y": 299,
            "width": 90,
            "height": 96
        }
    ],
    "height": 640,
    "key": "00401 (2).jpg",
    "width": 640
}

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