Edit Project

Bullet hole object detection

Object Detection

Dataset Versions

Try Pre-Trained Model

v30

2023-06-02 1:18pm

Generated on Jun 2, 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.

3099 Total Images

View All Images

Dataset Split

Train Set 90%

2784Images

Valid Set 7%

202Images

Test Set 4%

113Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Modify Classes: 12 remapped, 0 dropped

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

Grayscale: Apply to 25% of images

Saturation: Between -72% and +72%

Brightness: Between -30% and +0%

Similar Projects

Annotations

Group:

targets-bullet-holes

IMG_20230309_184524.jpg

640x640

0.41MP

Updated Nov 9, 55387

12:11AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Modify Classes

Applied

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "DB9lYTysbbY9HrwHRIm4"
    ],
    "destination": "49ee8c139704112453b754cc4f21e628",
    "height": 640,
    "id": "GQcuYNyFnMrTdJACUSf6",
    "label": [],
    "labels": [],
    "name": "IMG_20230309_184524.jpg",
    "numSteps": 3,
    "owner": "9sdNm1uaS5SCKJDdhFxjzftxiNZ2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "remap:[\"292f0060f065b08aa6433a50507a107d\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Modify Classes",
            "value": "Applied"
        }
    ],
    "source": "GQcuYNyFnMrTdJACUSf6",
    "split": "train",
    "split.DB9lYTysbbY9HrwHRIm4.26": "train",
    "split.DB9lYTysbbY9HrwHRIm4.28": "train",
    "split.DB9lYTysbbY9HrwHRIm4.29": "train",
    "split.DB9lYTysbbY9HrwHRIm4.30": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"remap:[\\\"292f0060f065b08aa6433a50507a107d\\\"]\"\n]",
    "updated": 1685704695063,
    "updatedDate": "Nov 9, 55387",
    "updatedTime": "12:11AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "DB9lYTysbbY9HrwHRIm4/26",
        "DB9lYTysbbY9HrwHRIm4/28",
        "DB9lYTysbbY9HrwHRIm4/29",
        "DB9lYTysbbY9HrwHRIm4/30"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "0",
            "x": 204,
            "y": 201.5,
            "width": 28.5,
            "height": 19
        },
        {
            "label": "1",
            "x": 482,
            "y": 247.5,
            "width": 29,
            "height": 14
        },
        {
            "label": "0",
            "x": 586.5,
            "y": 289,
            "width": 32,
            "height": 11.5
        },
        {
            "label": "4",
            "x": 403,
            "y": 299.5,
            "width": 27.5,
            "height": 14
        },
        {
            "label": "6",
            "x": 410,
            "y": 347,
            "width": 27.5,
            "height": 14
        },
        {
            "label": "Target",
            "x": 286,
            "y": 397.5,
            "width": 572,
            "height": 317.5
        },
        {
            "label": "black_contour",
            "x": 309.5,
            "y": 409.5,
            "width": 237,
            "height": 118
        }
    ],
    "height": 640,
    "key": "IMG_20230309_184524.jpg",
    "width": 640
}

Bullet hole object detection

Dataset Versions

2023-06-02 1:18pm

Popular Download Formats

3099 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

IMG_20230309_184524.jpg

Updated Nov 9, 55387

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data