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SportsLocationTracking_Players

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-12-27 1:36pm

Generated on Dec 27, 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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2284 Total Images

View All Images

Dataset Split

Train Set 89%

2040Images

Valid Set 6%

128Images

Test Set 5%

116Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Grayscale: Applied

Auto-Adjust Contrast: Using Adaptive Equalization

Tile: 2 rows x 2 columns

Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3

Crop: 0% Minimum Zoom, 20% Maximum Zoom

Shear: ±15° Horizontal, ±15° Vertical

Mosaic: Applied

Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

Similar Projects

Annotations

Group:

Players-on-field

25.jpg

640x640

0.41MP

Updated Mar 5, 55958

9:00AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Tile

Row: 1 of 2
Column: 2 of 2

Resize

Stretch to 640x640

Grayscale

Applied

Auto-Adjust Contrast

Adaptive Equalization

Modify Classes

Applied

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "IzlNitYORQuNve6pWHxl"
    ],
    "destination": "6a4cdb0dedd524877de04a657bc28cc2",
    "height": 640,
    "id": "jaHUbgCrzAIixcXTnKTg",
    "label": [],
    "labels": [],
    "name": "25.jpg",
    "numSteps": 6,
    "owner": "7cnkP1JuyVWJeuAlumlZRNX6b4n1",
    "preprocessing": [
        "auto-orient",
        "tile:[1,0,2,2]",
        "resize:[\"Stretch to\",640,640]",
        "grayscale",
        "auto-contrast:[\"Adaptive Equalization\"]",
        "remap:[\"fb14666b8ffe65a18c35566b1a8fb23d\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Tile",
            "value": "Row: 1 of 2<br/>Column: 2 of 2"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Adaptive Equalization"
        },
        {
            "name": "Modify Classes",
            "value": "Applied"
        }
    ],
    "source": "jaHUbgCrzAIixcXTnKTg",
    "split": "train",
    "split.IzlNitYORQuNve6pWHxl.3": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"tile:[1,0,2,2]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"grayscale\",\n    \"auto-contrast:[\\\"Adaptive Equalization\\\"]\",\n    \"remap:[\\\"fb14666b8ffe65a18c35566b1a8fb23d\\\"]\"\n]",
    "updated": 1703702192459,
    "updatedDate": "Mar 5, 55958",
    "updatedTime": "9:00AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "IzlNitYORQuNve6pWHxl/3"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "player",
            "x": 373,
            "y": 395.5,
            "width": 55.5,
            "height": 185
        },
        {
            "label": "player",
            "x": 94,
            "y": 172,
            "width": 61,
            "height": 129.5
        },
        {
            "label": "player",
            "x": 284,
            "y": 530,
            "width": 37,
            "height": 174.5
        },
        {
            "label": "player",
            "x": 316.5,
            "y": 495.5,
            "width": 89.5,
            "height": 134
        },
        {
            "label": "player",
            "x": 195,
            "y": 506,
            "width": 57.5,
            "height": 189.5
        },
        {
            "label": "player",
            "x": 187,
            "y": 475,
            "width": 61,
            "height": 155.5
        },
        {
            "label": "player",
            "x": 155,
            "y": 385,
            "width": 67,
            "height": 144.5
        },
        {
            "label": "player",
            "x": 174.5,
            "y": 331.5,
            "width": 43.5,
            "height": 140.5
        },
        {
            "label": "player",
            "x": 218,
            "y": 384,
            "width": 59,
            "height": 133
        },
        {
            "label": "player",
            "x": 221.5,
            "y": 350.5,
            "width": 52.5,
            "height": 138
        }
    ],
    "height": 640,
    "key": "25.jpg",
    "width": 640
}

SportsLocationTracking_Players

Dataset Versions

2023-12-27 1:36pm

Popular Download Formats

2284 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

25.jpg

Updated Mar 5, 55958

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data