Edit vector labels for training deep learning models¶

Install package¶

To use the geoai-py package, ensure it is installed in your environment. Uncomment the command below if needed.

In [1]:

# %pip install geoai-py

# %pip install geoai-py

Import libraries¶

In [2]:

import geoai

import geoai

Add sample datasets¶

In [3]:

m = geoai.MapLibre()
m.add_basemap("Google Satellite")
url = "https://huggingface.co/datasets/giswqs/geospatial/resolve/main/naip_train_buildings.geojson"

m = geoai.MapLibre() m.add_basemap("Google Satellite") url = "https://huggingface.co/datasets/giswqs/geospatial/resolve/main/naip_train_buildings.geojson"

Set default properties¶

In [4]:

properties = {
    "class": ["apartments", "terrace", "detached", "house", "shed", None],
    "height": 0.0,
}

properties = { "class": ["apartments", "terrace", "detached", "house", "shed", None], "height": 0.0, }

Display the interactive widget¶

In [5]:

widget = geoai.edit_vector_data(m, url, properties=properties)
m.add_layer_control()
widget

widget = geoai.edit_vector_data(m, url, properties=properties) m.add_layer_control() widget

Out[5]: