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Agricultural Pests Detection

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-11-05 1:12am

Generated on Nov 5, 2024

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Popular Download Formats

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.

Other Formats

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4128 Total Images

View All Images

Dataset Split

Train Set 88%

3612Images

Valid Set 8%

344Images

Test Set 4%

172Images

Preprocessing

Auto-Orient: Applied

Resize: Fit (white edges) in 640x640

Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3

Saturation: Between -30% and +30%

Bounding Box: Blur: Up to 3px

Bounding Box: Noise: Up to 2% of pixels

Similar Projects

Annotations

Group: Caterpillars-Grasshoppers-Slugs

Catterpillar

Unused Classes

Grasshoppers

Slugs

Weevils

Attributes

catterpillar-511-.jpg

640x640

0.41MP

Updated Nov 22, 56815

10:49AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Fit (white edges) in 640x640

Auto-Adjust Contrast

Adaptive Equalization

Blur

Applied Per Bounding Box

Noise

Applied Per Bounding Box

Saturation

-12%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "classes": {
        "Catterpillar": 649,
        "Grasshoppers": 466,
        "Slugs": 487,
        "Weevils": 441
    },
    "datasets": [
        "TTowhNHECvuI677bVBWs"
    ],
    "destination": "6cb6a1531a099c2e82c4c21837641c61",
    "height": 640,
    "id": "T29eCg8xNdOtIlqcAs67",
    "label": [],
    "labels": [],
    "name": "catterpillar-511-.jpg",
    "numSteps": 6,
    "owner": "psULb1GpPyaW4Z1sW59Cnwd5JqV2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Fit (white edges) in\",640,640]",
        "auto-contrast:[\"Adaptive Equalization\"]",
        "blur:[[3]]",
        "noise:[[1.71,833661]]",
        "saturation:[-12]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Fit (white edges) in 640x640"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Adaptive Equalization"
        },
        {
            "name": "Blur",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Noise",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Saturation",
            "value": "-12%"
        }
    ],
    "source": "T29eCg8xNdOtIlqcAs67",
    "split": "train",
    "split.TTowhNHECvuI677bVBWs.3": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Fit (white edges) in\\\",640,640]\",\n    \"auto-contrast:[\\\"Adaptive Equalization\\\"]\",\n    \"blur:[[3]]\",\n    \"noise:[[1.71,833661]]\",\n    \"saturation:[-12]\"\n]",
    "updated": 1730769158970,
    "updatedDate": "Nov 22, 56815",
    "updatedTime": "10:49AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "TTowhNHECvuI677bVBWs/3"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "id": "2",
            "label": "Catterpillar",
            "x": 280,
            "y": 342,
            "width": 456.25,
            "height": 384.25
        }
    ],
    "height": 640,
    "key": "catterpillar (511).jpg",
    "width": 640
}

Agricultural Pests Detection

Dataset Versions

2024-11-05 1:12am

Popular Download Formats

4128 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Attributes

catterpillar-511-.jpg

Updated Nov 22, 56815

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data