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Fruit Ripeness Detection

Object Detection

Dataset Versions

Try Pre-Trained Model

Fruit Ripeness Detection Dataset

6 months ago

Testing II

Generated on Nov 15, 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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6918 Total Images

View All Images

Dataset Split

Train Set 92%

6357Images

Valid Set 4%

271Images

Test Set 4%

290Images

Preprocessing

Auto-Orient: Applied

Resize: Fit within 640x640

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

Rotation: Between -15° and +15°

Brightness: Between -25% and +25%

Similar Projects

Attributes

r1_59.jpg

640x607

0.39MP

Updated Dec 20, 56843

2:26AM

GMT+00:00

Generated by Roboflow

Testing Set

Transforms

Auto-Orient

Applied

Resize

Fit within 640x640

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
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    ],
    "destination": "a0ea2dba4c1da77f7981cc9d92d21f7c",
    "height": 607,
    "id": "S0DRVrlS9RS4w5ryijqP",
    "label": [],
    "labels": [],
    "name": "r1_59.jpg",
    "numSteps": 2,
    "owner": "RDjtLhD3pFWQFYQFwuUKDwc53aQ2",
    "predictions": [
        {
            "color": "#8622FF",
            "label": "Apple Unripe",
            "x": 318.88665771484375,
            "y": 302.4388122558594,
            "width": 634.319580078125,
            "height": 604.0827026367188
        },
        {
            "color": "#8622FF",
            "label": "Apple Unripe",
            "x": 321.9347839355469,
            "y": 477.14227294921875,
            "width": 625.0170288085938,
            "height": 254.40478515625
        }
    ],
    "preprocessing": [
        "auto-orient",
        "resize:[\"Fit within\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Fit within 640x640"
        }
    ],
    "source": "S0DRVrlS9RS4w5ryijqP",
    "split": "test",
    "split.Eh3eXcO75HACsv0iFKIH.4": "test",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Fit within\\\",640,640]\"\n]",
    "updated": 1731655160801,
    "updatedDate": "Dec 20, 56843",
    "updatedTime": "2:26AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "Eh3eXcO75HACsv0iFKIH/4"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "type": "polygon",
            "label": "Apple Unripe",
            "x": 320,
            "y": 303.75,
            "width": 634.999998,
            "height": 600,
            "points": [
                [
                    47.499999,
                    459.375
                ],
                [
                    82.500001,
                    501.875001
                ],
                [
                    123.124999,
                    540
                ],
                [
                    183.124999,
                    577.499999
                ],
                [
                    246.875001,
                    601.25
                ],
                [
                    360.625,
                    603.75
                ],
                [
                    415.625,
                    590
                ],
                [
                    466.875001,
                    567.499999
                ],
                [
                    531.875001,
                    520
                ],
                [
                    583.75,
                    464.375
                ],
                [
                    612.500001,
                    411.875001
                ],
                [
                    632.500001,
                    348.124999
                ],
                [
                    637.499999,
                    305.625
                ],
                [
                    633.75,
                    226.875001
                ],
                [
                    620,
                    178.124999
                ],
                [
                    593.75,
                    126.875001
                ],
                [
                    560.625,
                    87.499999
                ],
                [
                    506.875001,
                    45
                ],
                [
                    463.124999,
                    25
                ],
                [
                    400.625,
                    7.499999
                ],
                [
                    371.875001,
                    3.75
                ],
                [
                    255.625,
                    7.499999
                ],
                [
                    196.875001,
                    26.25
                ],
                [
                    155.625,
                    48.75
                ],
                [
                    116.875001,
                    76.25
                ],
                [
                    52.500001,
                    141.875001
                ],
                [
                    23.75,
                    191.875001
                ],
                [
                    7.499999,
                    240.625
                ],
                [
                    2.500001,
                    280.625
                ],
                [
                    6.25,
                    355.625
                ],
                [
                    28.75,
                    425.625
                ],
                [
                    47.499999,
                    459.375
                ]
            ]
        }
    ],
    "height": 607,
    "key": "r1_59.jpg",
    "width": 640
}

Fruit Ripeness Detection

Dataset Versions

Testing II

Popular Download Formats

6918 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Ground Truth Boxes

Predicted Boxes

Attributes

r1_59.jpg

Updated Dec 20, 56843

Generated by Roboflow

Testing Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data