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bird_airplane detection

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-03-04 10:30am

Generated on Mar 4, 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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75 Total Images

View All Images

Dataset Split

Train Set 69%

52Images

Valid Set 20%

15Images

Test Set 11%

8Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Grayscale: Applied

Augmentations

Outputs per training example: 1

Grayscale: Apply to 25% of images

Similar Projects

Annotations

Group:

bird-or-airplane

00001079.jpg

640x640

0.41MP

Updated Apr 8, 55142

11:04AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Grayscale

Applied

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "ZGXFdRCYqbod7VaLjBbo"
    ],
    "destination": "c9e65b5955c6cba427cac968d20e260e",
    "height": 640,
    "id": "lTCen0tIsY15JZvyjuh1",
    "label": [],
    "labels": [],
    "name": "00001079.jpg",
    "numSteps": 3,
    "owner": "mNArWTUQlWOJvwUdCaZnGlUZkQD3",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "grayscale"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        }
    ],
    "source": "lTCen0tIsY15JZvyjuh1",
    "split": "train",
    "split.ZGXFdRCYqbod7VaLjBbo.4": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"grayscale\"\n]",
    "updated": 1677954654293,
    "updatedDate": "Apr 8, 55142",
    "updatedTime": "11:04AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "ZGXFdRCYqbod7VaLjBbo/4"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Aircraft",
            "x": 380,
            "y": 312.5,
            "width": 474,
            "height": 536.5
        }
    ],
    "height": 640,
    "key": "00001079.jpg",
    "width": 640
}

bird_airplane detection

Dataset Versions

2023-03-04 10:30am

Popular Download Formats

75 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

00001079.jpg

Updated Apr 8, 55142

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data