Ritz-ai/reciclaje-efficientnetb0
Updated
•
73
Datasets:
Search is not available for this dataset
image
imagewidth (px) 83
5.14k
| label
class label 3
classes |
|---|---|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
|
0Amarillo
|
End of preview. Expand
in Data Studio
♻️ Dataset de Reciclaje
Carpetas:
amarillo/→ plástico/aluminioverde/→ vidrioazul/→ papel/cartón
📥 Cómo descargar desde Python
from huggingface_hub import hf_hub_download
from zipfile import ZipFile
zip_path = hf_hub_download(
repo_id="Ritz-ai/dataset-reciclaje",
filename="Dataset_Reciclaje.zip",
repo_type="dataset"
)
with ZipFile(zip_path, 'r') as z:
z.extractall("/content/Dataset_Reciclaje")
📄 Licencia
MIT License.
- Downloads last month
- 6
Size of downloaded dataset files:
50.6 MB
Size of the auto-converted Parquet files:
49.9 MB
Number of rows:
902
Models trained or fine-tuned on Ritz-ai/dataset-reciclaje