csviverdeia/terramind-ndvi-tokenizer

TerraMind 1.0 NDVI Tokenizer (IBM+ESA) - FSQ-VAE encoder/decoder pra imagens NDVI

Public
3 runs

Run csviverdeia/terramind-ndvi-tokenizer with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field Type Default value Description
image
string
Imagem NDVI (grayscale PNG/JPG ou GeoTIFF). Valores [0-255] mapeados pra NDVI [-1, 1].
mode
None
reconstruct
Modo de operação: 'tokenize' (encode em tokens), 'reconstruct' (encode→decode), 'tokens_only' (só índices).
timesteps
integer
10

Min: 1

Max: 50

Diffusion steps no decoder (mais steps = melhor reconstrução, mais lento).
image_size
integer
224

Min: 64

Max: 1024

Resolução de entrada (deve ser múltiplo de patch size).

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{
  "type": "string",
  "title": "Output"
}