Dataset Versions

2022-10-19 1:28pm

2022-10-19 1:25pm

v1

2022-10-19 1:25pm

Generated on Oct 19, 2022

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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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350 Total Images

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Dataset Split

Train Set 100%

350Images

Valid Set %

0Images

Test Set %

0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 1

Noise: Up to 5% of pixels

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emotion-dataset

Annotate

8 / 12

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train

Labels

Attributes

Raw Data

Annotations

Group:

emotion

CLASSES

LAYERS

sad

1

Unused Classes

angry

disgust

fear

happy

neutral

surprise

Tags

No Tags Applied

Type and select tags below to add them to the image.

Attributes

S117.jpg

408x612

0.25MP

Updated Jul 14, 54768

12:30AM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Noise	3.5%

Annotation History

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Raw Data

{
    "camera": "Generated by Roboflow",
    "classes": {
        "angry": 51,
        "disgust": 50,
        "fear": 50,
        "happy": 122,
        "neutral": 64,
        "sad": 51,
        "surprise": 57
    },
    "datasets": [
        "5OiTuBU9CTP20Kvp4uMY"
    ],
    "destination": "955531a1d333b0f0adb449836e389f25",
    "height": 612,
    "id": "1ZMN7PyTgGtmtUMAIMTT",
    "label": [],
    "labels": [],
    "name": "S117.jpg",
    "numSteps": 2,
    "owner": "bKrlNJnUArXuqP09iVcr68u9lFP2",
    "preprocessing": [
        "auto-orient",
        "noise:[3.5,51535]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Noise",
            "value": "3.5%"
        }
    ],
    "source": "1ZMN7PyTgGtmtUMAIMTT",
    "split": "train",
    "split.5OiTuBU9CTP20Kvp4uMY.1": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"noise:[3.5,51535]\"\n]",
    "updated": 1666160757016,
    "updatedDate": "Jul 14, 54768",
    "updatedTime": "12:30AM",
    "updatedTimezone": "+00:00",
    "versions": [
        "5OiTuBU9CTP20Kvp4uMY/1"
    ],
    "width": 408
}

{
    "boxes": [
        {
            "label": "sad",
            "x": 157.42,
            "y": 275,
            "width": 245.21999999999997,
            "height": 251.14
        }
    ],
    "height": 612,
    "key": "S117.jpg",
    "width": 408
}

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