Military Object Detection

Object Detection

Dataset Versions

Try Pre-Trained Model

2024-06-03 7:21pm

2024-03-21 1:01am

2024-03-16 1:29am

2024-03-15 10:40pm

2024-03-10 12:01am

v3

2024-03-16 1:29am

Generated on Mar 15, 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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1826 Total Images

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Annotation Visualization

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Dataset Split

Train Set 72%

1307Images

Valid Set 19%

345Images

Test Set 10%

174Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Augmentations

No augmentations were applied.

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Military Object Detection

Annotate

1 / 13

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train

Labels

Attributes

Raw Data

Annotations

Group:

Aircrafts-Tanks-Warships-Trucks

Classes

Layers

Drone

1

Guns

51

Person

1

Unused Classes

Aircraft

Helicopter

Missile

Missile Launchers

Tank

Truck

Warship

Weapons

Tags

No Tags Applied

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

Attributes

79d64a57137bc9eb38a698fdd70d5c5b.jpg

640x640

0.41MP

Updated Aug 17, 56174

6:50AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 640x640

Annotation History

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Raw Data

Source Data

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    "label": [],
    "labels": [],
    "name": "79d64a57137bc9eb38a698fdd70d5c5b.jpg",
    "numSteps": 2,
    "owner": "Jip14DyZQXfV46QtiIde89h9KEA2",
    "preprocessing": [
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    "source": "GNUnOJ8DOAqvKN6fP3f8",
    "split": "train",
    "split.tIVlT145nMIuQafQBKBu.2": "train",
    "split.tIVlT145nMIuQafQBKBu.3": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\"\n]",
    "updated": 1710532795843,
    "updatedDate": "Aug 17, 56174",
    "updatedTime": "6:50AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "tIVlT145nMIuQafQBKBu/2",
        "tIVlT145nMIuQafQBKBu/3"
    ],
    "width": 640
}

Annotation Data

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        },
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        },
        {
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        {
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        }
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    "height": 640,
    "key": "79d64a57137bc9eb38a698fdd70d5c5b.jpg",
    "width": 640
}

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