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Final-Segmentation-Dataset

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-11-04 4:58pm

Generated on Nov 4, 2024

Download Dataset

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

Choose another format.

1153 Total Images

View All Images

Dataset Split

Train Set 80%

927Images

Valid Set 10%

114Images

Test Set 10%

112Images

Preprocessing

Auto-Orient: Applied

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group:

tomato

tomato492_png.jpg

400x500

0.20MP

Updated Jan 24, 56815

7:48PM

GMT+00:00

Generated by Roboflow

Training Set

Raw Data

Source Data

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    "datasets": [
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    ],
    "destination": "604399aca75e0cc49e7fd86a6ac0fd2d",
    "height": 500,
    "id": "E5qzW6HtG15I9qjpDxv1",
    "label": [],
    "labels": [],
    "name": "tomato492_png.jpg",
    "numSteps": 1,
    "owner": "AK7zPUCUOl2yviE4ZLo0",
    "preprocessing": [
        "auto-orient"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        }
    ],
    "source": "E5qzW6HtG15I9qjpDxv1",
    "split": "train",
    "split.318IJfZxCXjPH8mFNRFX.1": "train",
    "split.318IJfZxCXjPH8mFNRFX.3": "train",
    "split.318IJfZxCXjPH8mFNRFX.4": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\"\n]",
    "updated": 1730743098497,
    "updatedDate": "Jan 24, 56815",
    "updatedTime": "7:48PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "318IJfZxCXjPH8mFNRFX/1",
        "318IJfZxCXjPH8mFNRFX/3",
        "318IJfZxCXjPH8mFNRFX/4"
    ],
    "width": 400
}

Annotation Data

{
    "boxes": [
        {
            "type": "polygon",
            "label": "Tomato",
            "x": 333.008,
            "y": 271.484,
            "width": 117.18799999999999,
            "height": 138.672,
            "points": [
                [
                    309.082,
                    333.984
                ],
                [
                    330.566,
                    340.82
                ],
                [
                    349.121,
                    337.891
                ],
                [
                    364.746,
                    331.055
                ],
                [
                    386.719,
                    311.035
                ],
                [
                    391.602,
                    292.48
                ],
                [
                    388.672,
                    276.855
                ],
                [
                    363.281,
                    227.051
                ],
                [
                    351.563,
                    217.285
                ],
                [
                    344.238,
                    202.148
                ],
                [
                    323.73,
                    204.102
                ],
                [
                    298.34,
                    214.844
                ],
                [
                    276.367,
                    259.277
                ],
                [
                    274.414,
                    283.691
                ],
                [
                    281.25,
                    305.176
                ],
                [
                    289.063,
                    318.848
                ],
                [
                    309.082,
                    333.984
                ]
            ],
            "keypoints": []
        },
        {
            "type": "polygon",
            "label": "Tomato",
            "x": 358.88649999999996,
            "y": 375.488,
            "width": 81.055,
            "height": 122.07000000000005,
            "points": [
                [
                    359.863,
                    436.523
                ],
                [
                    398.926,
                    435.547
                ],
                [
                    399.414,
                    320.801
                ],
                [
                    387.207,
                    314.453
                ],
                [
                    355.469,
                    337.402
                ],
                [
                    323.242,
                    345.215
                ],
                [
                    318.359,
                    368.652
                ],
                [
                    319.336,
                    388.184
                ],
                [
                    335.938,
                    421.387
                ],
                [
                    359.863,
                    436.523
                ]
            ],
            "keypoints": []
        },
        {
            "type": "polygon",
            "label": "Tomato",
            "x": 375,
            "y": 468.2615,
            "width": 48.827999999999975,
            "height": 63.476999999999975,
            "points": [
                [
                    397.949,
                    436.523
                ],
                [
                    358.887,
                    437.5
                ],
                [
                    351.563,
                    452.637
                ],
                [
                    350.586,
                    473.145
                ],
                [
                    357.91,
                    500
                ],
                [
                    399.414,
                    499.512
                ],
                [
                    397.949,
                    436.523
                ]
            ],
            "keypoints": []
        }
    ],
    "height": 500,
    "key": "tomato492_png.rf.8454ef10d3b28f755d84c6d86a003fee.jpg",
    "width": 400
}

Final-Segmentation-Dataset

Dataset Versions

2024-11-04 4:58pm

Popular Download Formats

1153 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Tags

Attributes

tomato492_png.jpg

Updated Jan 24, 56815

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data