Dataset Versions

2023-05-04 4:23pm

Generated on May 4, 2023

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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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1422 Total Images

View All Images

Dataset Split

Train Set 93%

1320Images

Valid Set 4%

50Images

Test Set 4%

52Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization

Modify Classes: 16 remapped, 0 dropped

Augmentations

Outputs per training example: 3

Crop: 0% Minimum Zoom, 20% Maximum Zoom

Brightness: Between -25% and +25%

Blur: Up to 0.75px

Similar Projects

Annotations

Group:

Tooth

MUTIMAH_28_JUN.jpg

1095x570

0.62MP

Updated Mar 28, 55308

10:11AM

GMT+00:00

Generated by Roboflow

Testing Set

Transforms

Auto-Adjust Contrast

Histogram Equalization

Modify Classes

Applied

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "s7attjtwUdgArCxj6LPI"
    ],
    "destination": "5eb0af472059002aaa7027f2a666213c",
    "height": 570,
    "id": "8B2QLRqAQQwFwFpcei8e",
    "label": [],
    "labels": [],
    "name": "MUTIMAH_28_JUN.jpg",
    "numSteps": 2,
    "owner": "drTvy8VAF5MXWyM3JJivcubfuAL2",
    "preprocessing": [
        "auto-contrast:[\"Histogram Equalization\"]",
        "remap:[\"129b626d0e6367f977e06bb62a0aed32\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Adjust Contrast",
            "value": "Histogram Equalization"
        },
        {
            "name": "Modify Classes",
            "value": "Applied"
        }
    ],
    "source": "8B2QLRqAQQwFwFpcei8e",
    "split": "test",
    "split.s7attjtwUdgArCxj6LPI.9": "test",
    "status": "generated",
    "transforms": "[\n    \"auto-contrast:[\\\"Histogram Equalization\\\"]\",\n    \"remap:[\\\"129b626d0e6367f977e06bb62a0aed32\\\"]\"\n]",
    "updated": 1683192219089,
    "updatedDate": "Mar 28, 55308",
    "updatedTime": "10:11AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "s7attjtwUdgArCxj6LPI/9"
    ],
    "width": 1095
}

Annotation Data

{
    "boxes": [
        {
            "label": "18",
            "x": 262,
            "y": 261,
            "width": 44,
            "height": 98
        },
        {
            "label": "17",
            "x": 310,
            "y": 259,
            "width": 48,
            "height": 106
        },
        {
            "label": "16",
            "x": 359.5,
            "y": 261.5,
            "width": 53,
            "height": 109
        },
        {
            "label": "15",
            "x": 397,
            "y": 260,
            "width": 40,
            "height": 110
        },
        {
            "label": "14",
            "x": 425.5,
            "y": 252,
            "width": 39,
            "height": 124
        },
        {
            "label": "13",
            "x": 450,
            "y": 253.5,
            "width": 30,
            "height": 113
        },
        {
            "label": "12",
            "x": 477.5,
            "y": 255.5,
            "width": 27,
            "height": 105
        },
        {
            "label": "11",
            "x": 507.5,
            "y": 252,
            "width": 37,
            "height": 110
        },
        {
            "label": "21",
            "x": 543.5,
            "y": 248,
            "width": 37,
            "height": 106
        },
        {
            "label": "22",
            "x": 583,
            "y": 257,
            "width": 32,
            "height": 92
        },
        {
            "label": "23",
            "x": 621,
            "y": 250,
            "width": 40,
            "height": 112
        },
        {
            "label": "24",
            "x": 653.5,
            "y": 260.5,
            "width": 45,
            "height": 111
        },
        {
            "label": "25",
            "x": 685,
            "y": 262.5,
            "width": 44,
            "height": 117
        },
        {
            "label": "26",
            "x": 725,
            "y": 271.5,
            "width": 54,
            "height": 103
        },
        {
            "label": "27",
            "x": 769,
            "y": 269.5,
            "width": 46,
            "height": 101
        },
        {
            "label": "28",
            "x": 810.5,
            "y": 271.5,
            "width": 43,
            "height": 93
        },
        {
            "label": "38",
            "x": 811.5,
            "y": 374.5,
            "width": 57,
            "height": 95
        },
        {
            "label": "37",
            "x": 756,
            "y": 386,
            "width": 66,
            "height": 108
        },
        {
            "label": "36",
            "x": 704,
            "y": 388,
            "width": 68,
            "height": 112
        },
        {
            "label": "35",
            "x": 660,
            "y": 392,
            "width": 42,
            "height": 122
        },
        {
            "label": "34",
            "x": 629.5,
            "y": 381.5,
            "width": 37,
            "height": 109
        },
        {
            "label": "33",
            "x": 597,
            "y": 385.5,
            "width": 40,
            "height": 117
        },
        {
            "label": "32",
            "x": 565.5,
            "y": 370,
            "width": 37,
            "height": 108
        },
        {
            "label": "31",
            "x": 539,
            "y": 366.5,
            "width": 20,
            "height": 101
        },
        {
            "label": "41",
            "x": 521,
            "y": 365.5,
            "width": 20,
            "height": 103
        },
        {
            "label": "42",
            "x": 500.5,
            "y": 369.5,
            "width": 27,
            "height": 107
        },
        {
            "label": "43",
            "x": 474,
            "y": 380.5,
            "width": 32,
            "height": 119
        },
        {
            "label": "44",
            "x": 445,
            "y": 382,
            "width": 34,
            "height": 112
        },
        {
            "label": "45",
            "x": 417,
            "y": 380.5,
            "width": 38,
            "height": 105
        },
        {
            "label": "46",
            "x": 375.5,
            "y": 382,
            "width": 67,
            "height": 112
        },
        {
            "label": "47",
            "x": 325.5,
            "y": 378,
            "width": 69,
            "height": 110
        },
        {
            "label": "48",
            "x": 271.5,
            "y": 366,
            "width": 65,
            "height": 96
        }
    ],
    "height": 570,
    "key": "MUTIMAH_28_JUN.jpg",
    "width": 1095
}

Tooth Detection