Edit Project

my_dataset_sperm_detection

Object Detection

Dataset Versions

my_head_detection_final

3 years ago

my_dataset_head_detection_3

3 years ago

my_dataset_sperm_detection_2

3 years ago

2022-02-16 4:09pm

3 years ago

my_head_detection_final

Generated on Feb 23, 2022

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.

100 Total Images

View All Images

Dataset Split

Train Set 90%

90Images

Valid Set 5%

5Images

Test Set 5%

5Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3

Flip: Horizontal, Vertical

90° Rotate: Clockwise, Counter-Clockwise, Upside Down

Hue: Between -25° and +25°

Saturation: Between -25% and +25%

Brightness: Between -25% and +25%

Exposure: Between -25% and +25%

Noise: Up to 5% of pixels

Similar Projects

Annotations

Group:

pieces

CLASSES

LAYERS

8.jpg

416x416

0.17MP

Updated Feb 23, 2022

12:00PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Resize	Stretch to 416x416
90° Rotate	Applied
Hue	-13°
Saturation	21%
Brightness	-23%
Exposure	2%
Noise	2.25%

Raw Data

{
    "camera": "Generated by Roboflow",
    "datasets": [
        "8I3Feez0DUv2Bce3qDeY"
    ],
    "destination": "d8dfaaf5c8c7d44183add6dfb915715c",
    "height": 416,
    "id": "HZVcGqzc0F1u9UTys48k",
    "label": [],
    "labels": [],
    "name": "8.jpg",
    "numSteps": 8,
    "owner": "I3betz6XIzTDFShcd3JpwqjEHxg1",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",416,416]",
        "ninety:[90]",
        "hue:[-13]",
        "saturation:[21]",
        "brightness:[-23]",
        "exposure:[2]",
        "noise:[2.25,448640]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 416x416"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Hue",
            "value": "-13°"
        },
        {
            "name": "Saturation",
            "value": "21%"
        },
        {
            "name": "Brightness",
            "value": "-23%"
        },
        {
            "name": "Exposure",
            "value": "2%"
        },
        {
            "name": "Noise",
            "value": "2.25%"
        }
    ],
    "source": "HZVcGqzc0F1u9UTys48k",
    "split": "train",
    "split.8I3Feez0DUv2Bce3qDeY.4": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",416,416]\",\n    \"ninety:[90]\",\n    \"hue:[-13]\",\n    \"saturation:[21]\",\n    \"brightness:[-23]\",\n    \"exposure:[2]\",\n    \"noise:[2.25,448640]\"\n]",
    "updated": {
        "_seconds": 1645617645,
        "_nanoseconds": 658000000
    },
    "updatedDate": "Feb 23, 2022",
    "updatedTime": "12:00PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "8I3Feez0DUv2Bce3qDeY/4"
    ],
    "width": 416
}

{
    "boxes": [
        {
            "label": "0",
            "x": 12,
            "y": 233.5,
            "width": 24,
            "height": 31
        },
        {
            "label": "0",
            "x": 123.5,
            "y": 273.5,
            "width": 16,
            "height": 23
        },
        {
            "label": "0",
            "x": 16,
            "y": 27,
            "width": 32,
            "height": 20
        },
        {
            "label": "0",
            "x": 170.5,
            "y": 345,
            "width": 28,
            "height": 20
        },
        {
            "label": "0",
            "x": 20,
            "y": 279.5,
            "width": 30,
            "height": 13
        },
        {
            "label": "0",
            "x": 211,
            "y": 23,
            "width": 25,
            "height": 19
        },
        {
            "label": "0",
            "x": 215,
            "y": 37.5,
            "width": 30,
            "height": 22
        },
        {
            "label": "0",
            "x": 230.5,
            "y": 54.5,
            "width": 22,
            "height": 21
        },
        {
            "label": "0",
            "x": 235,
            "y": 394,
            "width": 34,
            "height": 15
        },
        {
            "label": "0",
            "x": 240.5,
            "y": 147,
            "width": 30,
            "height": 12
        },
        {
            "label": "0",
            "x": 28,
            "y": 265,
            "width": 22,
            "height": 23
        },
        {
            "label": "0",
            "x": 286,
            "y": 74,
            "width": 28,
            "height": 12
        },
        {
            "label": "0",
            "x": 304,
            "y": 76.5,
            "width": 24,
            "height": 20
        },
        {
            "label": "0",
            "x": 345,
            "y": 133.5,
            "width": 40,
            "height": 20
        },
        {
            "label": "0",
            "x": 364.5,
            "y": 308,
            "width": 36,
            "height": 20
        },
        {
            "label": "0",
            "x": 382,
            "y": 156.5,
            "width": 40,
            "height": 18
        },
        {
            "label": "0",
            "x": 395.5,
            "y": 20,
            "width": 24,
            "height": 35
        },
        {
            "label": "0",
            "x": 81.5,
            "y": 338.5,
            "width": 19,
            "height": 20
        }
    ],
    "height": 416,
    "key": "8.jpg",
    "width": 416
}

my_dataset_sperm_detection

Dataset Versions

my_head_detection_final

Popular Download Formats

100 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Tags

Attributes

8.jpg

Updated Feb 23, 2022

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data