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2024-03-29 10:50am

2024-03-28 4:19pm

2024-03-28 1:42pm

2024-03-15 1:47pm

2024-03-15 1:07pm

2024-02-28 12:39am

v4

2024-03-28 1:42pm

Generated on Mar 28, 2024

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YOLOv11

TXT annotations and YAML config used with YOLOv11.

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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.

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675 Total Images

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Annotation Visualization

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Dataset Split

Train Set 70%

471Images

Valid Set 20%

136Images

Test Set 10%

68Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

No augmentations were applied.

Similar Projects

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vehicle_detection

Annotate

10 / 12

Show/hide annotations(H)

valid

Labels

Attributes

Raw Data

Annotations

Group:

Cars-trucks

CLASSES

LAYERS

Vehicle_Detection_YOLOv8 - v3 2023-12-03

26

Unused Classes

Coupe

Crossover-car

Hatchback

Motorcycle

RV

SUV

Sedan-Car

Truck

Utility_truck

Van

Van-with-trailer

bus

car_w_trailer

liquid_truck

minivan

pick_w_trailer

pickup

Tags

No Tags Applied

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

Attributes

10_mp4-47.jpg

640x640

0.41MP

Updated Mar 28, 2024

6:42PM

GMT+00:00

Generated by Roboflow

Validation Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640

Annotation History

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Raw Data

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    "camera": "Generated by Roboflow",
    "classes": {
        "Van-with-trailer": 4,
        "Car": 3,
        "bus": 71,
        "Motorcycle": 280,
        "Van": 264,
        "RV": 72,
        "Utility_truck": 62,
        "pickup": 454,
        "Truck": 598,
        "liquid_truck": 21,
        "SUV": 566,
        "Vehicle_Detection_YOLOv8 - v3 2023-12-03": 313,
        "car_w_trailer": 32,
        "Crossover-car": 1045,
        "Sedan-Car": 2053,
        "Coupe": 58,
        "Hatchback": 1406,
        "pick_w_trailer": 34,
        "minivan": 392
    },
    "datasets": [
        "7PkAxrLdaxqUa8BoXRxi"
    ],
    "destination": "85b4d76c17c28223be26919ed77a6174",
    "height": 640,
    "id": "rUJYSg7X0x1ayhR5bfcn",
    "label": [],
    "labels": [],
    "name": "10_mp4-47.jpg",
    "numSteps": 2,
    "owner": "Dg0PSB9HAZPj3cvkJtx9oBd1I9k1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        }
    ],
    "source": "rUJYSg7X0x1ayhR5bfcn",
    "split": "valid",
    "split.7PkAxrLdaxqUa8BoXRxi.1": "valid",
    "split.7PkAxrLdaxqUa8BoXRxi.2": "valid",
    "split.7PkAxrLdaxqUa8BoXRxi.3": "valid",
    "split.7PkAxrLdaxqUa8BoXRxi.4": "valid",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": {
        "_seconds": 1711651335,
        "_nanoseconds": 172000000
    },
    "updatedDate": "Mar 28, 2024",
    "updatedTime": "6:42PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "7PkAxrLdaxqUa8BoXRxi/1",
        "7PkAxrLdaxqUa8BoXRxi/2",
        "7PkAxrLdaxqUa8BoXRxi/3",
        "7PkAxrLdaxqUa8BoXRxi/4"
    ],
    "width": 640
}

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    ],
    "height": 640,
    "key": "10_mp4-47_jpg.rf.e9259514eb111f8a8a33db5bea461edd.jpg",
    "width": 640
}

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