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Children, adults and humanoids

Object Detection

Dataset Versions

Try Pre-Trained Model

2 years ago

v1

Generated on Mar 7, 2023

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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.

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1275 Total Images

View All Images

Dataset Split

Train Set 84%

1068Images

Valid Set 11%

135Images

Test Set 6%

72Images

Preprocessing

Auto-Orient: Applied

Static Crop: 25-75% Horizontal Region, 5-75% Vertical Region

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3

Bounding Box: Flip: Horizontal

Similar Projects

Annotations

Group: Humanoid-Robots

adults

Unused Classes

humanoids

kids

Attributes

images73.jpg

640x640

0.41MP

Updated Feb 15, 55150

8:04AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Static Crop

X: 25% to 75%
Y: 5% to 75%

Resize

Stretch to 640x640

Flip

Applied Per Bounding Box

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "5NV7dmX3xCoyqcWb70up"
    ],
    "destination": "abc3a02536f4f80a70a5a910e90413ed",
    "height": 640,
    "id": "A6c6v9lK7ne8sNRaFwKi",
    "label": [],
    "labels": [],
    "name": "images73.jpg",
    "numSteps": 4,
    "owner": "hoDk1OgQEMPXvZa5UrSfr4FlYxx2",
    "preprocessing": [
        "auto-orient",
        "static-crop:[25,75,5,75]",
        "resize:[\"Stretch to\",640,640]",
        "flip:[[]]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 25% to 75%<br/>Y: 5% to 75%"
        },
        {
            "name": "Resize",
            "value": "Stretch to 640x640"
        },
        {
            "name": "Flip",
            "value": "Applied Per Bounding Box"
        }
    ],
    "source": "A6c6v9lK7ne8sNRaFwKi",
    "split": "train",
    "split.5NV7dmX3xCoyqcWb70up.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[25,75,5,75]\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"flip:[[]]\"\n]",
    "updated": 1678202611443,
    "updatedDate": "Feb 15, 55150",
    "updatedTime": "8:04AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "5NV7dmX3xCoyqcWb70up/1"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
        {
            "label": "adults",
            "x": 326.5,
            "y": 320,
            "width": 627,
            "height": 640
        }
    ],
    "height": 640,
    "key": "images73.jpg",
    "width": 640
}