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Blood Emporium Node Detection

Object Detection

Dataset Versions

Try Pre-Trained Model

v2 - wrong model uploaded

v4b - bloodpoints

Generated on May 11, 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.

860 Total Images

View All Images

Dataset Split

Train Set 90%

776Images

Valid Set 10%

84Images

Test Set %

0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

Similar Projects

Annotations

Group:

nodes

4-enabled_auto_bloodweb-47-.jpg

1280x800

1.02MP

Updated Aug 9, 55328

9:39AM

GMT+00:00

Generated by Roboflow

Training Set

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "ZsDSZRPRyxeJISdNbbyU"
    ],
    "destination": "517f0d2d5bc6122d8216f5420c99459e",
    "height": 800,
    "id": "XoHrhIh5JjCXLacLor0c",
    "label": [],
    "labels": [],
    "name": "4-enabled_auto_bloodweb-47-.jpg",
    "numSteps": 1,
    "owner": "GGGkVio4rbCpOJGIhmTX",
    "preprocessing": [
        "flip:[\"vertical\"]"
    ],
    "preprocessingParsed": [
        {
            "name": "Flip",
            "value": "Vertical"
        }
    ],
    "source": "XoHrhIh5JjCXLacLor0c",
    "split": "train",
    "split.ZsDSZRPRyxeJISdNbbyU.8": "train",
    "status": "generated",
    "transforms": "[\n    \"flip:[\\\"vertical\\\"]\"\n]",
    "updated": 1683834946751,
    "updatedDate": "Aug 9, 55328",
    "updatedTime": "9:39AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "ZsDSZRPRyxeJISdNbbyU/8"
    ],
    "width": 1280
}

Annotation Data

{
    "boxes": [
        {
            "label": "accessible",
            "x": 344,
            "y": 411,
            "width": 50,
            "height": 50
        },
        {
            "label": "claimed",
            "x": 299,
            "y": 558,
            "width": 40,
            "height": 40
        },
        {
            "label": "claimed",
            "x": 344,
            "y": 337,
            "width": 40,
            "height": 40
        },
        {
            "label": "claimed",
            "x": 300.5,
            "y": 477.5,
            "width": 41,
            "height": 41
        },
        {
            "label": "claimed",
            "x": 407,
            "y": 300,
            "width": 42,
            "height": 40
        },
        {
            "label": "claimed",
            "x": 220.5,
            "y": 478.5,
            "width": 41,
            "height": 41
        },
        {
            "label": "claimed",
            "x": 370,
            "y": 515,
            "width": 42,
            "height": 40
        },
        {
            "label": "claimed",
            "x": 407.5,
            "y": 447.5,
            "width": 39,
            "height": 39
        },
        {
            "label": "stolen",
            "x": 443.5,
            "y": 515,
            "width": 43,
            "height": 42
        },
        {
            "label": "stolen",
            "x": 593.5,
            "y": 478.5,
            "width": 41,
            "height": 41
        },
        {
            "label": "claimed",
            "x": 370,
            "y": 233.5,
            "width": 42,
            "height": 41
        },
        {
            "label": "void",
            "x": 637.5,
            "y": 505,
            "width": 37,
            "height": 36
        },
        {
            "label": "stolen",
            "x": 299,
            "y": 191,
            "width": 42,
            "height": 40
        },
        {
            "label": "stolen",
            "x": 469.36,
            "y": 411.57,
            "width": 38.51999999999998,
            "height": 38.65999999999997
        },
        {
            "label": "stolen",
            "x": 513.17,
            "y": 477.45,
            "width": 40.420000000000016,
            "height": 40.41999999999996
        },
        {
            "label": "origin_auto_enabled",
            "x": 407.5,
            "y": 373.5,
            "width": 47,
            "height": 45
        },
        {
            "label": "bloodpoints",
            "x": 1056.41,
            "y": 756.18,
            "width": 70.86999999999989,
            "height": 15.450000000000045
        }
    ],
    "height": 800,
    "key": "4.enabled_auto_bloodweb (47).jpg",
    "width": 1280
}

Blood Emporium Node Detection

Dataset Versions

v4b - bloodpoints

Popular Download Formats

860 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

4-enabled_auto_bloodweb-47-.jpg

Updated Aug 9, 55328

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data