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.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

The dropdown lists show the available interpreters, ABIs, and platforms. Enable javascript to be able to filter the list of wheel files.

seeme-0.43.2-py3-none-any.whl (38.0 kB view details)

Uploaded Sep 2, 2026 Python 3

File details

Details for the file seeme-0.43.2-py3-none-any.whl.

File metadata

Download URL: seeme-0.43.2-py3-none-any.whl
Upload date: Sep 2, 2026
Size: 38.0 kB
Tags: Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/6.2.0 CPython/3.11.9

File hashes

Hashes for seeme-0.43.2-py3-none-any.whl
Algorithm	Hash digest
SHA256	`8afae814ddae6589abd61eb38f4d14be803695282df14cb535a3e4e8f8573c04`
MD5	`e2e772bf1dba9f6eb24c8322b34bf2c4`
BLAKE2b-256	`552a574289be4d1640a08312b56fc0bbbe80a3eaf9842c07357f0cd1ca0c82a0`