Dataset Versions

2023-02-09 12:45am

Generated on Feb 8, 2023

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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.

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1575 Total Images

View All Images

Dataset Split

Train Set 76%

1192Images

Valid Set 16%

248Images

Test Set 9%

135Images

Preprocessing

No preprocessing steps were applied.

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group: vehicle

car

truck

Unused Classes

bus

motorbike

Attributes

video_mp4-342.jpg

640x640

0.41MP

Updated Aug 22, 55076

1:21PM

GMT+00:00

Generated by Roboflow

Training Set

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "AVJmLonN44QtcGVFszDX"
    ],
    "destination": "1b017ffcc0d7b07e945898832c613e35",
    "height": 640,
    "id": "6louMJXOuX3TXhUmtMX3",
    "label": [],
    "labels": [],
    "name": "video_mp4-342.jpg",
    "numSteps": 0,
    "owner": "vYDhrVIwaoVoyRKAWIHCKKUNSIE2",
    "preprocessing": [],
    "preprocessingParsed": [],
    "source": "6louMJXOuX3TXhUmtMX3",
    "split": "train",
    "split.AVJmLonN44QtcGVFszDX.2": "train",
    "split.AVJmLonN44QtcGVFszDX.3": "train",
    "status": "generated",
    "transforms": "[]",
    "updated": 1675883740919,
    "updatedDate": "Aug 22, 55076",
    "updatedTime": "1:21PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "AVJmLonN44QtcGVFszDX/2",
        "AVJmLonN44QtcGVFszDX/3"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "car",
            "x": 289.75,
            "y": 290,
            "width": 75.5,
            "height": 116
        },
        {
            "label": "truck",
            "x": 277,
            "y": 179,
            "width": 52,
            "height": 86
        },
        {
            "label": "car",
            "x": 223.5,
            "y": 176.5,
            "width": 37,
            "height": 65
        },
        {
            "label": "car",
            "x": 406.25,
            "y": 353.25,
            "width": 114.5,
            "height": 152.5
        },
        {
            "label": "car",
            "x": 559.25,
            "y": 512.25,
            "width": 154.5,
            "height": 228.5
        },
        {
            "label": "car",
            "x": 194.25,
            "y": 149,
            "width": 22.5,
            "height": 38
        },
        {
            "label": "car",
            "x": 372.25,
            "y": 249.5,
            "width": 60.5,
            "height": 71
        },
        {
            "label": "car",
            "x": 173.25,
            "y": 114.75,
            "width": 12.5,
            "height": 15.5
        }
    ],
    "height": 640,
    "key": "video_mp4-342_jpg.rf.268604f601f80e0cf1f05b2d9bc41133.jpg",
    "width": 640
}

car detection