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Anotherversion_demo_water_gun_detection

Object Detection

Dataset Versions

Try Pre-Trained Model

Grayscale

Generated on May 10, 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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5163 Total Images

View All Images

Dataset Split

Train Set 89%

4590Images

Valid Set 6%

287Images

Test Set 6%

286Images

Preprocessing

Auto-Orient: Applied

Resize: Fill (with center crop) in 640x640

Grayscale: Applied

Augmentations

Outputs per training example: 2

Flip: Horizontal, Vertical

Crop: 0% Minimum Zoom, 13% Maximum Zoom

Shear: ±15° Horizontal, ±15° Vertical

Brightness: Between -15% and +15%

Blur: Up to 1.5px

Noise: Up to 0.46% of pixels

Similar Projects

Annotations

Group:

gun-7MHP-StMT

442468334_7576372125732371_5255700462391844163_n_mp4-1559.jpg

640x640

0.41MP

Updated Jun 8, 56327

9:54AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Crop

Keep 99%
Centered on 1%, 32%

Resize

Fill (with center crop) in 640x640

Grayscale

Applied

Shear

X: -13°
Y: 5°

Brightness

-9%

Blur

1.25px

Noise

0.14%

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "akq5eQv5NW4prWOh78rx"
    ],
    "destination": "e03a457043d71064746cd329fdfb5831",
    "height": 640,
    "id": "qkZ43inksJDZvvtAGHAh",
    "label": [],
    "labels": [],
    "name": "442468334_7576372125732371_5255700462391844163_n_mp4-1559.jpg",
    "numSteps": 8,
    "owner": "3HDCbx9t1sWYKqofhXn8OsExiDf2",
    "preprocessing": [
        "auto-orient",
        "crop:[99,0.006108,0.321026]",
        "resize:[\"Fill (with center crop) in\",640,640]",
        "grayscale",
        "shear:[-13,5]",
        "brightness:[-9]",
        "blur:[1.25]",
        "noise:[0.14,423987]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Crop",
            "value": "Keep 99%<br />Centered on 1%, 32%"
        },
        {
            "name": "Resize",
            "value": "Fill (with center crop) in 640x640"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Shear",
            "value": "X: -13°<br/>Y: 5°"
        },
        {
            "name": "Brightness",
            "value": "-9%"
        },
        {
            "name": "Blur",
            "value": "1.25px"
        },
        {
            "name": "Noise",
            "value": "0.14%"
        }
    ],
    "source": "qkZ43inksJDZvvtAGHAh",
    "split": "train",
    "split.akq5eQv5NW4prWOh78rx.4": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"crop:[99,0.006108,0.321026]\",\n    \"resize:[\\\"Fill (with center crop) in\\\",640,640]\",\n    \"grayscale\",\n    \"shear:[-13,5]\",\n    \"brightness:[-9]\",\n    \"blur:[1.25]\",\n    \"noise:[0.14,423987]\"\n]",
    "updated": 1715354877278,
    "updatedDate": "Jun 8, 56327",
    "updatedTime": "9:54AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "akq5eQv5NW4prWOh78rx/4"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "water gun",
            "x": 316.93223218802893,
            "y": 300.0315648105979,
            "width": 305.3877344521677,
            "height": 507.7834550538031
        }
    ],
    "height": 640,
    "key": "442468334_7576372125732371_5255700462391844163_n_mp4-1559.jpg",
    "width": 640
}

Anotherversion_demo_water_gun_detection

Dataset Versions

Grayscale

Popular Download Formats

5163 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Tags

Attributes

442468334_7576372125732371_5255700462391844163_n_mp4-1559.jpg

Updated Jun 8, 56327

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data