Dataset Versions

2022-09-01 3:35pm

Generated on Sep 1, 2022

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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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387 Total Images

View All Images

Dataset Split

Train Set 71%

275Images

Valid Set 20%

78Images

Test Set 9%

34Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 416x416

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group: ball

ball

Unused Classes

goalpost

Attributes

scene24651.png

416x416

0.17MP

Updated Apr 23, 54723

3:07PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 416x416

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "TLRN88QjtdkePe6QUu1k"
    ],
    "destination": "cd451c2575c8a410200638aff6c2d413",
    "height": 416,
    "id": "5cYWKjlPLOAfhuRu7AXO",
    "label": [],
    "labels": [],
    "name": "scene24651.png",
    "numSteps": 2,
    "owner": "KlRsy7vJapcMmulqEbqxYmopZpu1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",416,416]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 416x416"
        }
    ],
    "source": "5cYWKjlPLOAfhuRu7AXO",
    "split": "train",
    "split.TLRN88QjtdkePe6QUu1k.1": "train",
    "split.TLRN88QjtdkePe6QUu1k.2": "train",
    "split.TLRN88QjtdkePe6QUu1k.3": "train",
    "split.TLRN88QjtdkePe6QUu1k.4": "train",
    "split.TLRN88QjtdkePe6QUu1k.5": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",416,416]\"\n]",
    "updated": 1664733568038,
    "updatedDate": "Apr 23, 54723",
    "updatedTime": "3:07PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "TLRN88QjtdkePe6QUu1k/1",
        "TLRN88QjtdkePe6QUu1k/2",
        "TLRN88QjtdkePe6QUu1k/3",
        "TLRN88QjtdkePe6QUu1k/4",
        "TLRN88QjtdkePe6QUu1k/5"
    ],
    "width": 416
}

Annotation Data

{
    "boxes": [
        {
            "label": "ball",
            "x": 84,
            "y": 206.5,
            "width": 8,
            "height": 15
        }
    ],
    "height": 416,
    "key": "scene24651.jpg",
    "width": 416
}

ball-detection