Dataset Versions

v23

2024-05-04 8:32pm

Generated on May 4, 2024

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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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3891 Total Images

View All Images

Dataset Split

Train Set 90%

3486Images

Valid Set %

0Images

Test Set 10%

405Images

Preprocessing

Resize: Stretch to 960x1280

Augmentations

Outputs per training example: 2

90° Rotate: Clockwise, Counter-Clockwise

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Annotations

Group:

oto-xemay-xebus-xetai-xedap

0c0e0b1bfce2a3dd.jpg

960x1280

1.23MP

Updated Oct 15, 56310

1:07PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Resize

Stretch to 960x1280

90° Rotate

Applied

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "2PFZVaLZuMLEOzRYRGDN"
    ],
    "destination": "8ec5c35f7c60a4be6fbb99eedbffe11d",
    "height": 1280,
    "id": "otpXDWJnm6CxR9E7p71V",
    "label": [],
    "labels": [],
    "name": "0c0e0b1bfce2a3dd.jpg",
    "numSteps": 2,
    "owner": "PwI0VtF1lNY1QeaGg53pG7g9vjt2",
    "preprocessing": [
        "resize:[\"Stretch to\",960,1280]",
        "ninety:[0]"
    ],
    "preprocessingParsed": [
        {
            "name": "Resize",
            "value": "Stretch to 960x1280"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        }
    ],
    "source": "otpXDWJnm6CxR9E7p71V",
    "split": "train",
    "split.2PFZVaLZuMLEOzRYRGDN.23": "train",
    "status": "generated",
    "transforms": "[\n    \"resize:[\\\"Stretch to\\\",960,1280]\",\n    \"ninety:[0]\"\n]",
    "updated": 1714829576855,
    "updatedDate": "Oct 15, 56310",
    "updatedTime": "1:07PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "2PFZVaLZuMLEOzRYRGDN/23"
    ],
    "width": 960
}

Annotation Data

{
    "boxes": [
        {
            "label": "xe bus",
            "x": 436,
            "y": 640,
            "width": 868,
            "height": 1280
        },
        {
            "label": "xe bus",
            "x": 887,
            "y": 728.5,
            "width": 146,
            "height": 870
        }
    ],
    "height": 1280,
    "key": "0c0e0b1bfce2a3dd.jpg",
    "width": 960
}

vehicle detection