Human_activity_Detection

Object Detection

Dataset Versions

Try Pre-Trained Model

2022-07-03 7:19pm

Final_Mobilenet

v6

2022-07-03 7:19pm

Generated on Jul 3, 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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10598 Total Images

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Dataset Split

Train Set 82%

8689Images

Valid Set 9%

999Images

Test Set 9%

910Images

Preprocessing

Auto-Orient: Applied

Static Crop: 11-79% Horizontal Region, 15-75% Vertical Region

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3

Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom

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Human_activity_Detection

Annotate

11 / 12

Show/hide annotations(H)

train

Labels

Attributes

Raw Data

Annotations

Group:

Human-Activity

CLASSES

LAYERS

Using_Computer

1

Unused Classes

Applauding

Archer

Bubble_flow

Car_Fix

Carrying_umbrella

Climbing

Cooking

Cutting_Tree

Cutting_Vegetable

Cycling

Dish_wash

Dslr_mirror_Selfie

FIxing_Bike

Fishing

Gardening

Gardening]

Holding_horse

Horse_Riding

Horse_eating

Into_Binoculars

Into_Telescope

Jumping

Mommy

Pouring

Reading

Running

Smoking

Taking_Picture

Teethbrushing

Throwing_Fresbie

Trolly_Roving

Walking_with_Dog

Watching_Tv

board_writing

call_phone

cloth_wash

drinking

fixing_Car

mopping

person

playing_guitar

playing_violen

researching

rowing_boat

rowing_kid

using_Cellphone

vaccuming

waving

writing

Tags

No Tags Applied

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

Attributes

using_a_computer_052.jpg

416x416

0.17MP

Updated Sep 26, 54473

6:25PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient	Applied
Static Crop	X: 11% to 79% Y: 15% to 75%
Crop	Applied Per Bounding Box
Resize	Stretch to 416x416

Annotation History

Loading...

Raw Data

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    "camera": "Generated by Roboflow",
    "datasets": [
        "YxFy6uWgwR7Zz3OftVH0"
    ],
    "destination": "f21f7afca5e9bc81f298fdb8d9dd78cd",
    "height": 416,
    "id": "bsX8fbYFZf7Z3Gk7lCPt",
    "label": [],
    "labels": [],
    "name": "using_a_computer_052.jpg",
    "numSteps": 4,
    "owner": "so0Abdyck6W7bCkFf5eSfyccgmS2",
    "preprocessing": [
        "auto-orient",
        "static-crop:[11,79,15,75]",
        "crop:[[85,0.215573,0.925326]]",
        "resize:[\"Stretch to\",416,416]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Static Crop",
            "value": "X: 11% to 79%<br/>Y: 15% to 75%"
        },
        {
            "name": "Crop",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "Resize",
            "value": "Stretch to 416x416"
        }
    ],
    "source": "bsX8fbYFZf7Z3Gk7lCPt",
    "split": "train",
    "split.YxFy6uWgwR7Zz3OftVH0.6": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"static-crop:[11,79,15,75]\",\n    \"crop:[[85,0.215573,0.925326]]\",\n    \"resize:[\\\"Stretch to\\\",416,416]\"\n]",
    "updated": 1656857960725,
    "updatedDate": "Sep 26, 54473",
    "updatedTime": "6:25PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "YxFy6uWgwR7Zz3OftVH0/6"
    ],
    "width": 416
}

{
    "boxes": [
        {
            "label": "Using_Computer",
            "x": 207.5,
            "y": 207.5,
            "width": 415,
            "height": 415
        }
    ],
    "height": 416,
    "key": "using_a_computer_052.jpg",
    "width": 416
}

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