Dataset Versions

2024-10-02 11:29am

Generated on Oct 2, 2024

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Popular Download Formats

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.

Other Formats

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537 Total Images

View All Images

Dataset Split

Train Set 80%

429Images

Valid Set 10%

54Images

Test Set 10%

54Images

Preprocessing

Auto-Orient: Applied

Resize: Fit (black edges) in 2000x2000

Augmentations

No augmentations were applied.

Similar Projects

Attributes

IMG_0994.JPG

2000x2000

4.00MP

Updated Dec 24, 56723

2:58AM

GMT+00:00

Generated by Roboflow

Testing Set

Transforms

Auto-Orient	Applied
Resize	Fit (black edges) in 2000x2000

Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "bib": 688,
        "face": 636,
        "person": 668
    },
    "datasets": [
        "TnXAyzxQwuyqH8BJxGMm"
    ],
    "destination": "51b0942bcb8affe3e1fcb3e4db67b5e9",
    "height": 2000,
    "id": "CQIU5EOZ4dmQzRymoI2Y",
    "label": [],
    "labels": [],
    "name": "IMG_0994.JPG",
    "numSteps": 2,
    "owner": "if5FbALBDmN00AZXI3GFbAtKnca2",
    "predictions": [
        {
            "color": "#8622FF",
            "label": "person",
            "x": 918.1660461425781,
            "y": 1226.0502319335938,
            "width": 431.40936279296875,
            "height": 889.3577880859375
        },
        {
            "color": "#8622FF",
            "label": "bib",
            "x": 911.9881286621094,
            "y": 1230.0479736328125,
            "width": 182.65716552734375,
            "height": 132.33056640625
        },
        {
            "color": "#8622FF",
            "label": "face",
            "x": 918.7727355957031,
            "y": 873.2149963378906,
            "width": 150.33709716796875,
            "height": 218.92889404296875
        }
    ],
    "preprocessing": [
        "auto-orient",
        "resize:[\"Fit (black edges) in\",2000,2000]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Fit (black edges) in 2000x2000"
        }
    ],
    "source": "CQIU5EOZ4dmQzRymoI2Y",
    "split": "test",
    "split.TnXAyzxQwuyqH8BJxGMm.4": "test",
    "split.TnXAyzxQwuyqH8BJxGMm.5": "test",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Fit (black edges) in\\\",2000,2000]\"\n]",
    "updated": 1727868596295,
    "updatedDate": "Dec 24, 56723",
    "updatedTime": "2:58AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "TnXAyzxQwuyqH8BJxGMm/4",
        "TnXAyzxQwuyqH8BJxGMm/5"
    ],
    "width": 2000
}

{
    "boxes": [
        {
            "id": "1",
            "label": "bib",
            "x": 907,
            "y": 1236,
            "width": 192,
            "height": 131
        }
    ],
    "height": 2000,
    "key": "IMG_0994.JPG",
    "width": 2000
}

Bib_detection