Dataset Versions

2024-12-22 4:13pm

Generated on Dec 22, 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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84 Total Images

View All Images

Dataset Split

Train Set 70%

59Images

Valid Set 24%

20Images

Test Set 6%

5Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Modify Classes: 0 remapped, 3 dropped

Augmentations

No augmentations were applied.

Similar Projects

Annotations

Group:

worker

KakaoTalk_20241221_211344416_24.jpg

640x640

0.41MP

Updated Apr 5, 56945

4:07AM

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": [
        "HwkeOjGF8vt3SJPDO3na"
    ],
    "destination": "5442682ce868c1a41f4d040cb03d2453",
    "height": 640,
    "id": "fDdC2gjU4OWQ2addDzDY",
    "label": [],
    "labels": [],
    "name": "KakaoTalk_20241221_211344416_24.jpg",
    "numSteps": 3,
    "owner": "HnK9jQaBVTQUIBBtdLGThXqGrPY2",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "remap:[\"55ecd9c808d1bb0b85709304e13ecb1a\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Modify Classes",
            "value": "Applied"
        }
    ],
    "source": "fDdC2gjU4OWQ2addDzDY",
    "split": "train",
    "split.HwkeOjGF8vt3SJPDO3na.9": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"remap:[\\\"55ecd9c808d1bb0b85709304e13ecb1a\\\"]\"\n]",
    "updated": 1734851621226,
    "updatedDate": "Apr 5, 56945",
    "updatedTime": "4:07AM",
    "updatedTimezone": "+00:00",
    "user_tags": [
        "1222"
    ],
    "versions": [
        "HwkeOjGF8vt3SJPDO3na/9"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "Lifeline",
            "x": 245,
            "y": 329.5,
            "width": 216,
            "height": 212
        },
        {
            "label": "Worker",
            "x": 401,
            "y": 314.5,
            "width": 150.5,
            "height": 438
        }
    ],
    "height": 640,
    "key": "KakaoTalk_20241221_211344416_24.jpg",
    "width": 640
}

Lifeline Detection