Dataset Versions

ver7-3000-dataset-pre-arg

Generated on Aug 23, 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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3041 Total Images

View All Images

Dataset Split

Train Set 60%

1839Images

Valid Set 26%

800Images

Test Set 13%

402Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Crop: 0% Minimum Zoom, 25% Maximum Zoom

Brightness: Between -65% and +65%

Blur: Up to 1.5px

Noise: Up to 10% of pixels

Cutout: 10 boxes with 7% size each

Similar Projects

Annotations

Group:

traffic-light

i0061493.jpg

640x640

0.41MP

Updated Sep 17, 55611

1:14PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Crop

Keep 81%
Centered on 1%, 68%

Resize

Stretch to 640x640

Brightness

-47%

Blur

1.25px

Noise

7.25%

Cutout

Applied

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "classes": {
        "Alert": 197,
        "Bus-Green": 29,
        "Bus-Red": 8,
        "Bus-Yellow": 1,
        "Green": 1576,
        "Green-Left_Diagonal_green": 6,
        "Green-Left_green": 428,
        "Green-Left_green-Right_Diagonal_green": 4,
        "Green-Right_green": 2,
        "Red": 987,
        "Red-Left_green": 79,
        "Red-Right_Diagonal_green": 22,
        "Right_Diagonal_green": 4,
        "Variable_green": 131,
        "Variable_red": 25,
        "Yellow": 211
    },
    "datasets": [
        "sP3w60B75n6pR3WTUuEI"
    ],
    "destination": "eeec8c02bd0b74c93b0e6330d4466fa7",
    "height": 640,
    "id": "xuFcaSAcO24YyPE8WcZ3",
    "label": [],
    "labels": [],
    "name": "i0061493.jpg",
    "numSteps": 6,
    "owner": "uQfXCJP5HHODIV7dXooDqi8K8783",
    "preprocessing": [
        "crop:[81,0.011503,0.678698]",
        "resize:[\"Stretch to\",640,640]",
        "brightness:[-47]",
        "blur:[1.25]",
        "noise:[7.25,730183]",
        "cutout:[{\"masks\":[[7,0.042268401201355,0.015518629818109142],[7,0.6793349556464578,0.9976617477213356],[7,0.7575793953123457,0.21061397133718818],[7,0.04731022940275942,0.14964868115422636],[7,0.29826884252662555,0.8626786129544577],[7,0.8174867936272769,0.7956164806161226],[7,0.5851655672999052,0.04991797481431437],[7,0.33329329469595326,0.4716954386476404],[7,0.0715375243524039,0.11221688528038665],[7,0.37401429625804816,0.8674964444094746]]}]"
    ],
    "preprocessingParsed": [
        {
            "name": "Crop",
            "value": "Keep 81%<br />Centered on 1%, 68%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Brightness",
            "value": "-47%"
        },
        {
            "name": "Blur",
            "value": "1.25px"
        },
        {
            "name": "Noise",
            "value": "7.25%"
        },
        {
            "name": "Cutout",
            "value": "Applied"
        }
    ],
    "source": "xuFcaSAcO24YyPE8WcZ3",
    "split": "train",
    "split.sP3w60B75n6pR3WTUuEI.7": "train",
    "status": "generated",
    "transforms": "[\n    \"crop:[81,0.011503,0.678698]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"brightness:[-47]\",\n    \"blur:[1.25]\",\n    \"noise:[7.25,730183]\",\n    \"cutout:[{\\\"masks\\\":[[7,0.042268401201355,0.015518629818109142],[7,0.6793349556464578,0.9976617477213356],[7,0.7575793953123457,0.21061397133718818],[7,0.04731022940275942,0.14964868115422636],[7,0.29826884252662555,0.8626786129544577],[7,0.8174867936272769,0.7956164806161226],[7,0.5851655672999052,0.04991797481431437],[7,0.33329329469595326,0.4716954386476404],[7,0.0715375243524039,0.11221688528038665],[7,0.37401429625804816,0.8674964444094746]]}]\"\n]",
    "updated": 1692768892492,
    "updatedDate": "Sep 17, 55611",
    "updatedTime": "1:14PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "sP3w60B75n6pR3WTUuEI/7"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Green",
            "x": 286.5,
            "y": 180.5,
            "width": 20.5,
            "height": 16
        },
        {
            "label": "Green",
            "x": 357,
            "y": 234,
            "width": 12,
            "height": 9.5
        },
        {
            "label": "Green",
            "x": 392.5,
            "y": 234,
            "width": 12,
            "height": 8
        }
    ],
    "height": 640,
    "key": "i0061493.jpg",
    "width": 640
}

traffic-light-project