Welcome to SeeMe.ai

SeeMe.ai is a no/low code AI platform aiming to be the simplest way you create, use, and share AI.

You can use SeeMe.ai without any code to automate the full AI lifecycle of your datasets and models.

The Python SDK gives easy access to all of your datasets, models, jobs, ... on the platform.

Installation

$ pip install seeme

Getting started

from seeme import Client

cl = Client()

# -- Registration --

my_username =    # example: "my_username"
my_email =       # example: "jan.vandepoel@seeme.ai"
my_password =    # example: "supersecurepassword"
my_firstname =   # example: "Jan"
my_name =        # example: "Van de Poel"

cl.register(
    username=my_username, 
    email=my_email, 
    password=my_password, 
    firstname=my_firstname, 
    name=my_name
)

# -- Log in --

cl.login(username, password)

# -- Log out --

cl.logout()

Datasets

Manage the entire lifecyle of your datasets:

create
manage
version
label
annotate
import/export

from seeme import Dataset, DatasetContentType

# -- Get datasets --
datasets = cl.get_datasets()

my_dataset = Dataset(
    name= "Cloud classifier",
    description= "Classify clouds from pictures",
    default_splits= True, # If `True`, adds 'train', 'valid', and 'test' default_splits
    content_type= DatasetContentType.IMAGES,
    multi_label= False
}

my_dataset = cl.create_dataset(my_dataset)

Checkout the dataset documentation to see all possibilities and detailed guides.

Models

Manage the entire lifecycle of your AI models:

create
manage
version
converst
predicti
import/export

from seeme import Model, Framework, ApplicationType

# -- Get models --
models = cl.get_models()

# -- Application ID --
application_id = cl.get_application_id(
    base_framework=Framework.PYTORCH,
    framework=Framework.FASTAI,
    base_framework_version=str(torch.__version__),
    framework_version=str(fastai.__version__),
    application=ApplicationType.IMAGE_CLASSIFICATION
)

# -- Create model --
model_name = "Cloud classifier"
description = "Classify clouds from images"

my_model = Model(
    name= model_name,
    description= description,
    application_id= application_id,
    auto_convert= True # Automatically converts your model to ONNX, CoreML, and TensorFlow Lite.
)

my_model = cl.create_model(my_model)

model_file_location = "my_exported_model.pkl"

cl.upload_model(my_model.id, model_file_location)

image_location = "my_image.png"

cl.inference(my_model.id, image_location)

Checkout the [model] documentation](https://docs.seeme.ai/python-sdk/#models) to see all possibilities and detailed guides.

Jobs

Schedule training, validation, and model conversion jobs with a simple command:

from seeme import Job, JobItem, JobType, ValueType

jobs = cl.get_jobs()

job = Job(
    name= "v3 image classifier",
    description= "A new dataset for an improved model",
    application_id= application_id,
    job_type= JobType.TRAINING,
    dataset_id= dataset_id,
    dataset_version_id= datset_version_id,
    model_id= model_id,
    model_version_id= model_version_id,
    items= [
      JobItem(
        name= "image_size",
        value= "224",
        value_type= ValueType.INT
      ),
      JobItem(
        name= "arch",
        value= "resnet50",
        value_type= ValueType.TEXT
      )
    ]
)

Applications

SeeMe.ai automates the full lifecycle of data and models for a wide range of AI applications, such as:

image classification
object detection
structured data
language models
multi lingual text classification
object character recognition (OCR)
named entity recognition (NER)

for a number of AI frameworks and their versions:

For a full list of frameworks and their versions:

# -- Get applications --
all_applications = cl.get_applications()

print(all_applications)

SDK Documentation

For more detailed SDK documentation see https://docs.seeme.ai.

Release files for seeme 0.31.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for seeme 0.31.0
File	Interpreter	ABI	Platform	Reset
seeme-0.31.0-py3-none-any.whl 19.4 kB Jan 27, 2025	Python 3	none	any	Details

Release files / seeme-0.31.0-py3-none-any.whl

Download URL	seeme-0.31.0-py3-none-any.whl
Size	19.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`0e5fa356137a4ee29810deeb54d56530a72b530b0a9f289578afdc8904ba2ab3`
BLAKE2b-256 checksum How to use checksums	`7c50a26038454c9fea546315f90a33cb3c7677304de309e3d08417327040d992`
Upload date	Jan 27, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/5.1.1 CPython/3.11.9`