Dataset Versions

v11

2024-06-30 11:30am

Generated on Jun 30, 2024

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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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3709 Total Images

View All Images

Dataset Split

Train Set 88%

3246Images

Valid Set 8%

308Images

Test Set 4%

155Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 800x800

Augmentations

Outputs per training example: 3

Flip: Horizontal

Hue: Between -15° and +15°

Saturation: Between -30% and +30%

Brightness: Between -25% and +25%

Similar Projects

Annotations

Group:

balls-racket-people-net-lines

CLASSES

LAYERS

ball

net

player

racket

serve line

padel06991.png

800x800

0.64MP

Updated Jun 30, 2024

11:30AM

GMT+00:00

Generated by Roboflow

Testing Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 800x800

Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "ball": 2164,
        "serve line": 3088,
        "racket": 4076,
        "net": 1545,
        "player": 6152
    },
    "datasets": [
        "3HWO7WcRcc8yS315g4Qi"
    ],
    "destination": "4d6c4d0c4cb20df6fbe7a4a7dc02cfc6",
    "height": 800,
    "id": "SCkokGJtO6kRHVcFf6ar",
    "label": [],
    "labels": [],
    "name": "padel06991.png",
    "numSteps": 2,
    "owner": "cCkJLaoNfIS6C0IzKQ4gm4fwv3s2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",800,800]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 800x800"
        }
    ],
    "source": "SCkokGJtO6kRHVcFf6ar",
    "split": "test",
    "split.3HWO7WcRcc8yS315g4Qi.11": "test",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",800,800]\"\n]",
    "updated": {
        "_seconds": 1719747039,
        "_nanoseconds": 79000000
    },
    "updatedDate": "Jun 30, 2024",
    "updatedTime": "11:30AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "3HWO7WcRcc8yS315g4Qi/11"
    ],
    "width": 800
}

{
    "boxes": [
        {
            "label": "net",
            "x": 399,
            "y": 365,
            "width": 436.5,
            "height": 75.5
        },
        {
            "label": "serve line",
            "x": 400.5,
            "y": 589.5,
            "width": 550.5,
            "height": 20.5
        },
        {
            "label": "serve line",
            "x": 398.5,
            "y": 282,
            "width": 351.5,
            "height": 18
        },
        {
            "label": "player",
            "x": 361.5,
            "y": 460,
            "width": 41,
            "height": 167.5
        },
        {
            "label": "player",
            "x": 457.5,
            "y": 419,
            "width": 30.5,
            "height": 164.5
        },
        {
            "label": "racket",
            "x": 348.5,
            "y": 192,
            "width": 10,
            "height": 16.5
        },
        {
            "label": "racket",
            "x": 466.5,
            "y": 207,
            "width": 9,
            "height": 18.5
        },
        {
            "label": "ball",
            "x": 360,
            "y": 262.5,
            "width": 6,
            "height": 11.5
        },
        {
            "label": "player",
            "x": 336,
            "y": 215.5,
            "width": 29,
            "height": 96.5
        },
        {
            "label": "player",
            "x": 480,
            "y": 217,
            "width": 27.5,
            "height": 113.5
        }
    ],
    "height": 800,
    "key": "padel06991.png",
    "width": 800
}

Padel-WPT-10videos