Dataset Versions

v35

2023-08-03 4:41pm

Generated on Aug 3, 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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3262 Total Images

View All Images

Dataset Split

Train Set 90%

2934Images

Valid Set 10%

328Images

Test Set %

0Images

Preprocessing

Resize: Fit within 640x640

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group:

guns

CLASSES

LAYERS

guns

person

2664.jpg

640x360

0.23MP

Updated Aug 3, 2023

9:41AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Resize

Fit within 640x640

Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "guns": 4851,
        "person": 5539
    },
    "datasets": [
        "I808oFPbzFY6KXmC5y1H"
    ],
    "destination": "13331987d3f06002e8c1fdfeeddba70f",
    "height": 360,
    "id": "2YUBycGH6k6LdwHh9Zv2",
    "label": [],
    "labels": [],
    "name": "2664.jpg",
    "numSteps": 1,
    "owner": "JaZMXfX9asAD80eL16EA",
    "preprocessing": [
        "resize:[\"Fit within\",640,640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Resize",
            "value": "Fit within 640x640"
        }
    ],
    "source": "2YUBycGH6k6LdwHh9Zv2",
    "split": "train",
    "split.I808oFPbzFY6KXmC5y1H.25": "train",
    "split.I808oFPbzFY6KXmC5y1H.26": "train",
    "split.I808oFPbzFY6KXmC5y1H.27": "train",
    "split.I808oFPbzFY6KXmC5y1H.30": "train",
    "split.I808oFPbzFY6KXmC5y1H.31": "train",
    "split.I808oFPbzFY6KXmC5y1H.32": "train",
    "split.I808oFPbzFY6KXmC5y1H.33": "train",
    "split.I808oFPbzFY6KXmC5y1H.34": "train",
    "split.I808oFPbzFY6KXmC5y1H.35": "train",
    "status": "generated",
    "transforms": "[\n    \"resize:[\\\"Fit within\\\",640,640]\"\n]",
    "updated": {
        "_seconds": 1691055701,
        "_nanoseconds": 145000000
    },
    "updatedDate": "Aug 3, 2023",
    "updatedTime": "9:41AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "I808oFPbzFY6KXmC5y1H/25",
        "I808oFPbzFY6KXmC5y1H/26",
        "I808oFPbzFY6KXmC5y1H/27",
        "I808oFPbzFY6KXmC5y1H/32",
        "I808oFPbzFY6KXmC5y1H/33",
        "I808oFPbzFY6KXmC5y1H/35"
    ],
    "width": 640
}

{
    "boxes": [
        {
            "label": "person",
            "x": 163,
            "y": 146,
            "width": 21,
            "height": 63
        },
        {
            "label": "person",
            "x": 304,
            "y": 150,
            "width": 37,
            "height": 93
        },
        {
            "label": "person",
            "x": 471,
            "y": 194,
            "width": 116,
            "height": 332
        },
        {
            "label": "guns",
            "x": 415,
            "y": 102,
            "width": 19,
            "height": 21
        }
    ],
    "height": 360,
    "key": "2664.jpg",
    "width": 640
}

Gun Detection