Dataset Versions

Try Pre-Trained Model

2023-07-13 5:12pm

2023-07-08 9:20pm

2023-07-07 10:58pm

2023-07-07 9:03pm

2023-07-07 8:41pm

2023-07-07 7:55pm

2023-07-07 3:20pm

v7

2023-07-13 5:12pm

Generated on Jul 13, 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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584 Total Images

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Dataset Split

Train Set 70%

409Images

Valid Set 20%

116Images

Test Set 10%

59Images

Preprocessing

Auto-Orient: Applied

Augmentations

No augmentations were applied.

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Finkenwerder

Annotate

9 / 12

Show/hide annotations(H)

train

Labels

Attributes

Raw Data

Annotations

Group:

Car-truck-bus-pedestrian

CLASSES

LAYERS

car

5

Unused Classes

bus

truck

Tags

No Tags Applied

Type and select tags below to add them to the image.

Attributes

DJI_20230623200823_0041_T.JPG

1280x1024

1.31MP

Updated Jul 23, 55500

12:40AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "bus": 83,
        "car": 3152,
        "truck": 190
    },
    "datasets": [
        "6DLBxe0FqwfuyQZzowDS"
    ],
    "destination": "3358105ec386ae5e361708c15e3f5d13",
    "height": 1024,
    "id": "0aNoT8HQJHti5mKsMZDd",
    "label": [],
    "labels": [],
    "name": "DJI_20230623200823_0041_T.JPG",
    "numSteps": 1,
    "owner": "y47sIXX5r8ZHP8QQHWedOMBAZcp1",
    "preprocessing": [
        "auto-orient"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        }
    ],
    "source": "0aNoT8HQJHti5mKsMZDd",
    "split": "train",
    "split.6DLBxe0FqwfuyQZzowDS.3": "train",
    "split.6DLBxe0FqwfuyQZzowDS.4": "train",
    "split.6DLBxe0FqwfuyQZzowDS.5": "train",
    "split.6DLBxe0FqwfuyQZzowDS.6": "train",
    "split.6DLBxe0FqwfuyQZzowDS.7": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\"\n]",
    "updated": 1689261180010,
    "updatedDate": "Jul 23, 55500",
    "updatedTime": "12:40AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "6DLBxe0FqwfuyQZzowDS/3",
        "6DLBxe0FqwfuyQZzowDS/4",
        "6DLBxe0FqwfuyQZzowDS/5",
        "6DLBxe0FqwfuyQZzowDS/6",
        "6DLBxe0FqwfuyQZzowDS/7"
    ],
    "width": 1280
}

{
    "boxes": [
        {
            "label": "car",
            "x": 555.08,
            "y": 333.21,
            "width": 39.86999999999989,
            "height": 28
        },
        {
            "label": "car",
            "x": 465.77,
            "y": 325.47,
            "width": 45.15999999999997,
            "height": 24.340000000000032
        },
        {
            "label": "car",
            "x": 506.17,
            "y": 291.86,
            "width": 34.68999999999994,
            "height": 21.840000000000032
        },
        {
            "label": "car",
            "x": 463.98,
            "y": 268.91,
            "width": 36.139999999999986,
            "height": 20.960000000000036
        },
        {
            "label": "car",
            "x": 532.12,
            "y": 304.71,
            "width": 25.86999999999989,
            "height": 22.25999999999999
        }
    ],
    "height": 1024,
    "key": "DJI_20230623200823_0041_T.JPG",
    "width": 1280
}

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