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

MUHAMMAD-MUJADID_28_JUL.jpg

962x498

0.48MP

Updated Mar 28, 55308

10:11AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Crop

Keep 81%
Centered on 22%, 50%

Auto-Adjust Contrast

Histogram Equalization

Modify Classes

Applied

Brightness

-22%

Blur

0.75px

Raw Data

Source Data

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    "camera": "Generated by Roboflow",
    "datasets": [
        "s7attjtwUdgArCxj6LPI"
    ],
    "destination": "2ca9a9a6a4d5bee75f8097d061e14429",
    "height": 498,
    "id": "foqrkyIa64q4s8IUGNNN",
    "label": [],
    "labels": [],
    "name": "MUHAMMAD-MUJADID_28_JUL.jpg",
    "numSteps": 5,
    "owner": "drTvy8VAF5MXWyM3JJivcubfuAL2",
    "preprocessing": [
        "crop:[81,0.217965,0.496906]",
        "auto-contrast:[\"Histogram Equalization\"]",
        "remap:[\"129b626d0e6367f977e06bb62a0aed32\"]",
        "brightness:[-22]",
        "blur:[0.75]"
    ],
    "preprocessingParsed": [
        {
            "name": "Crop",
            "value": "Keep 81%<br />Centered on 22%, 50%"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Histogram Equalization"
        },
        {
            "name": "Modify Classes",
            "value": "Applied"
        },
        {
            "name": "Brightness",
            "value": "-22%"
        },
        {
            "name": "Blur",
            "value": "0.75px"
        }
    ],
    "source": "foqrkyIa64q4s8IUGNNN",
    "split": "train",
    "split.s7attjtwUdgArCxj6LPI.9": "train",
    "status": "generated",
    "transforms": "[\n    \"crop:[81,0.217965,0.496906]\",\n    \"auto-contrast:[\\\"Histogram Equalization\\\"]\",\n    \"remap:[\\\"129b626d0e6367f977e06bb62a0aed32\\\"]\",\n    \"brightness:[-22]\",\n    \"blur:[0.75]\"\n]",
    "updated": 1683192219066,
    "updatedDate": "Mar 28, 55308",
    "updatedTime": "10:11AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "s7attjtwUdgArCxj6LPI/9"
    ],
    "width": 962
}

Annotation Data

{
    "boxes": [
        {
            "label": "17",
            "x": 269,
            "y": 205,
            "width": 50,
            "height": 90
        },
        {
            "label": "16",
            "x": 317,
            "y": 215,
            "width": 50,
            "height": 98
        },
        {
            "label": "15",
            "x": 357,
            "y": 214.5,
            "width": 36,
            "height": 113
        },
        {
            "label": "14",
            "x": 391,
            "y": 224.5,
            "width": 40,
            "height": 103
        },
        {
            "label": "13",
            "x": 421,
            "y": 218.5,
            "width": 36,
            "height": 121
        },
        {
            "label": "12",
            "x": 453.5,
            "y": 228.5,
            "width": 31,
            "height": 109
        },
        {
            "label": "11",
            "x": 486,
            "y": 234,
            "width": 36,
            "height": 120
        },
        {
            "label": "21",
            "x": 521.5,
            "y": 229,
            "width": 35,
            "height": 124
        },
        {
            "label": "22",
            "x": 556.5,
            "y": 225.5,
            "width": 31,
            "height": 119
        },
        {
            "label": "23",
            "x": 592,
            "y": 217,
            "width": 40,
            "height": 120
        },
        {
            "label": "24",
            "x": 623,
            "y": 217.5,
            "width": 44,
            "height": 113
        },
        {
            "label": "25",
            "x": 658.5,
            "y": 209.5,
            "width": 37,
            "height": 113
        },
        {
            "label": "26",
            "x": 703,
            "y": 211,
            "width": 52,
            "height": 100
        },
        {
            "label": "27",
            "x": 748.5,
            "y": 195,
            "width": 51,
            "height": 104
        },
        {
            "label": "37",
            "x": 745.5,
            "y": 307.5,
            "width": 69,
            "height": 93
        },
        {
            "label": "36",
            "x": 689.5,
            "y": 328.5,
            "width": 73,
            "height": 103
        },
        {
            "label": "35",
            "x": 649.5,
            "y": 344,
            "width": 59,
            "height": 110
        },
        {
            "label": "34",
            "x": 612.5,
            "y": 349,
            "width": 43,
            "height": 106
        },
        {
            "label": "33",
            "x": 577,
            "y": 353.5,
            "width": 42,
            "height": 115
        },
        {
            "label": "32",
            "x": 547,
            "y": 345.5,
            "width": 24,
            "height": 89
        },
        {
            "label": "31",
            "x": 524,
            "y": 347.5,
            "width": 22,
            "height": 89
        },
        {
            "label": "41",
            "x": 501.5,
            "y": 348,
            "width": 23,
            "height": 96
        },
        {
            "label": "42",
            "x": 476.5,
            "y": 350,
            "width": 29,
            "height": 90
        },
        {
            "label": "43",
            "x": 447,
            "y": 362,
            "width": 42,
            "height": 126
        },
        {
            "label": "44",
            "x": 416.5,
            "y": 356,
            "width": 39,
            "height": 118
        },
        {
            "label": "45",
            "x": 379,
            "y": 350,
            "width": 56,
            "height": 110
        },
        {
            "label": "46",
            "x": 338,
            "y": 335,
            "width": 78,
            "height": 106
        },
        {
            "label": "47",
            "x": 284,
            "y": 317.5,
            "width": 66,
            "height": 101
        },
        {
            "label": "48",
            "x": 221,
            "y": 298.5,
            "width": 80,
            "height": 61
        }
    ],
    "height": 498,
    "key": "MUHAMMAD MUJADID_28_JUL.jpg",
    "width": 962
}

Tooth Detection