Dataset Versions

2023-12-08 5:33pm

2023-12-08 3:54pm

v4

2023-12-08 5:33pm

Generated on Dec 8, 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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620 Total Images

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Annotation Visualization

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Dataset Split

Train Set 70%

434Images

Valid Set 19%

120Images

Test Set 11%

66Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

No augmentations were applied.

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Various Detection

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Labels

Attributes

Raw Data

Annotations

Group:

Autos-Autobus-Peaton

CLASSES

LAYERS

Auto

1

Autobus

1

Unused Classes

Peaton

Tags

No Tags Applied

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Attributes

DSC02384_JPG.jpg

640x640

0.41MP

Updated Dec 8, 2023

11:33PM

GMT+00:00

Generated by Roboflow

Validation Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "Auto": 1745,
        "Autobus": 136,
        "Peaton": 198
    },
    "datasets": [
        "i1qHqtKxeqD70gvHN3eb"
    ],
    "destination": "ad3716b50c125af111cb24a8c1b17b92",
    "height": 640,
    "id": "Jx7tSdedml6TxL9BgXEf",
    "label": [],
    "labels": [],
    "name": "DSC02384_JPG.jpg",
    "numSteps": 2,
    "owner": "kpXnSdWeEkNzj8P5Fnp6ObAeSOr2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "Jx7tSdedml6TxL9BgXEf",
    "split": "valid",
    "split.i1qHqtKxeqD70gvHN3eb.3": "valid",
    "split.i1qHqtKxeqD70gvHN3eb.4": "valid",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": {
        "_seconds": 1702078396,
        "_nanoseconds": 202000000
    },
    "updatedDate": "Dec 8, 2023",
    "updatedTime": "11:33PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "i1qHqtKxeqD70gvHN3eb/3",
        "i1qHqtKxeqD70gvHN3eb/4"
    ],
    "width": 640
}

{
    "boxes": [
        {
            "label": "Auto",
            "x": 384.5,
            "y": 367.5,
            "width": 36.5,
            "height": 70.5
        },
        {
            "label": "Autobus",
            "x": 507,
            "y": 369.5,
            "width": 86.5,
            "height": 117
        }
    ],
    "height": 640,
    "key": "DSC02384_JPG.jpg",
    "width": 640
}

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