Open-Source MLOps

DS2.ai is the MLOps platform that serves all processes of building your customized AI from automatic annotation, model training and deployment.
The Open-Source will be released on 2022-08-17. You can download the free version for now.

Manual & Auto Annotation Tools (Tableur, Text, Image, Recommeder system)
ML & DL Training (Pytorch, Tensorflow, XGboost, etc)
AI Aalytics (Prescriptive analysis and Data analytics with Metabase)
AI Model Deployment and monitoring
API & Python SDK Support

Why MLOps?

AI solutions without the MLOps system are not able to utilize the continuously generated data so the AI performance is not expected to improve.
With the MLOps system, you can quickly utilize the new data and improve artificial intelligence by correcting the model with the continuously generated data.

Without MLOps

With Data-Centric MLOps

* Manufacturing has been described as an example, and MLOps can be applied to all industries where AI can be introduced.

All processes of building your customized AI

DS2.ai supports all processes required in developing Customized AI. It is an AI-specialized platform service that collects data, builds a training dataset through data labeling, and enables the automatic development of artificial intelligence and easy deployment and operation.

Explore the AI features you want

Explore the AI features you want

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        MLOps SDK for Developer

        Build a data pipeline for MLOps at DS2.ai with Python. SDK gives you access to all of the processes from uploading and labeling data, to training and deploying the artificial intelligence model.

            
    from ds2 import DS2
    
ds2 = DS2(apptoken=“s2234k3b4”)
ds2.predict(
    "people.jpg",
    quick_model_name = “person”
    #model_id=20000 # Or You can also use your custmized AI.
)



        {
    "images": [
        {
            "id": "60a212aac869a1fea276480d",
            "file_name": "/images/img_labelingExample.jpg",
            "width": 4000,
            "height": 2084
        }
    ],
    "type": "instances",
    "annotations": [
        {
            "segmentation": [
                [
                    1200,
                    907,
                    1200,
                    1882,
                    2903,
                    1882,
                    2903,
                    907
                ]
            ],
            "area": 1660425,
            "iscrowd": 0,
            "ignore": 0,
            "image_id": "60a212aac869a1fea276480d",
            "bbox": [
                1200,
                907,
                1703,
                975
            ],
            "category_id": 2621,
            "id": "60a216ae2cd9eb1bbde44e2b"
        }
    ],
    "categories": [
        {
            "supercategory": "none",
            "id": 2620,
            "name": "person"
        },
        {
            "supercategory": "none",
            "id": 2621,
            "name": "person"
        },
        {
            "supercategory": "none",
            "id": 2622,
            "name": "person"
        }
    ]
}

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