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Object Detector with DOTA dataset

Object Detection

Dataset Versions

Try Pre-Trained Model

2023-05-10 11:48pm

Generated on May 10, 2023

Download Dataset

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.

Other Formats

Choose another format.

2245 Total Images

View All Images

Dataset Split

Train Set 88%

1968Images

Valid Set 8%

184Images

Test Set 4%

93Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3

Noise: Up to 5% of pixels

Similar Projects

Annotations

Group:

ground-objects-from-drones

P012410___824.png

416x416

0.17MP

Updated Dec 20, 55325

4:01AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 416x416

Noise

0.25%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "SlHC0DZkNMq8JgoYJS7d"
    ],
    "destination": "b4c0f7b42905987bccc60c6b937e15f1",
    "height": 416,
    "id": "hg3vBFRijiIx541WedOK",
    "label": [],
    "labels": [],
    "name": "P0124__1__0___824.png",
    "numSteps": 3,
    "owner": "Z26TahwIOAbfjaQxrfc5BAfB2g22",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",416,416]",
        "noise:[0.25,971126]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 416x416"
        },
        {
            "name": "Noise",
            "value": "0.25%"
        }
    ],
    "source": "hg3vBFRijiIx541WedOK",
    "split": "train",
    "split.SlHC0DZkNMq8JgoYJS7d.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",416,416]\",\n    \"noise:[0.25,971126]\"\n]",
    "updated": 1683751723271,
    "updatedDate": "Dec 20, 55325",
    "updatedTime": "4:01AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "SlHC0DZkNMq8JgoYJS7d/1"
    ],
    "width": 416
}

Annotation Data

{
    "boxes": [
        {
            "label": "small-vehicle",
            "x": 401,
            "y": 107,
            "width": 7,
            "height": 10
        },
        {
            "label": "small-vehicle",
            "x": 121,
            "y": 157.5,
            "width": 5.5,
            "height": 10
        },
        {
            "label": "small-vehicle",
            "x": 125.5,
            "y": 155,
            "width": 5.5,
            "height": 10
        },
        {
            "label": "small-vehicle",
            "x": 134,
            "y": 176.5,
            "width": 10,
            "height": 10
        },
        {
            "label": "small-vehicle",
            "x": 138,
            "y": 172,
            "width": 9.5,
            "height": 9.5
        },
        {
            "label": "small-vehicle",
            "x": 388,
            "y": 328.5,
            "width": 7.5,
            "height": 8
        },
        {
            "label": "small-vehicle",
            "x": 393,
            "y": 324,
            "width": 7.5,
            "height": 9
        },
        {
            "label": "small-vehicle",
            "x": 397,
            "y": 319.5,
            "width": 8.5,
            "height": 9
        },
        {
            "label": "small-vehicle",
            "x": 407.5,
            "y": 308,
            "width": 9,
            "height": 9.5
        },
        {
            "label": "small-vehicle",
            "x": 154,
            "y": 152,
            "width": 7.5,
            "height": 8.5
        },
        {
            "label": "small-vehicle",
            "x": 116,
            "y": 160.5,
            "width": 6.5,
            "height": 10
        }
    ],
    "height": 416,
    "key": "P0124__1__0___824.jpg",
    "width": 416
}

Object Detector with DOTA dataset

Dataset Versions

2023-05-10 11:48pm

Popular Download Formats

2245 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

P012410___824.png

Updated Dec 20, 55325

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data