Kortxovision
Framework: PyTorch (Ultralytics YOLO) File: kortxovision1-20m.pt Task: Object Detection Base Model: YOLO11m Dataset: mikeldiez/kortxovisioncompleto Training Hardware: NVIDIA Blackwell GPU Epochs: 110
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 38,7 MB
- Modelo base
- Ultralytics/YOLO11
- Versão
- vRevision 8805af0
- Atualizado
- 2 de out. de 2026
- Publicador
- @mikeldiez
- Downloads
- 0
- Parâmetros
- 20M
- Fonte
- Hugging Face
Descrição da fonte
Model Details
- Framework: PyTorch (Ultralytics YOLO)
- File: kortxovision_1-20m.pt
- Task: Object Detection
- Base Model: YOLO11m
- Dataset: mikeldiez/kortxovision_completo
- Training Hardware: NVIDIA Blackwell GPU
- Epochs: 110
Parameters
- Total Parameters: 20,066,115 (~20M)
Model Size
- File Size: ~40.5 MB (40,539,052 bytes)
Checkpoint Information
- Model architecture: DetectionModel (Ultralytics)
Usage
from ultralytics import YOLO
model = YOLO('kortxovision_1-20m.pt')
results = model.predict('image.jpg')
Fontes
1 fonte
Fontes
1 fonteVerificado 2 de out.
Artefatos de modelo
1 artefato
Artefatos de modelo
1 artefatoTrechos de fonte
3 trechos
Trechos de fonte
3 trechos--- license: mit datasets: - mikeldiez/kortxovision_completo base_model: - Ultralytics/YOLO11 --- ## Model Details - **Framework**: PyTorch (Ultralytics YOLO) - **File**: kortxovision_1-20m.pt - **Task**: Object Detection - **Base Model**: YOLO11m - **Dataset**: mikeldiez/kortxovision_completo - **Training Hardware**: NVIDIA Blackwell GPU - **Epochs**: 110 ## Parameters - **Total Parameters**: 20,066,115 (~20M) ## Model Size - **File Size**: ~40.5 MB (40,539,052 bytes) ## Checkpoint Information - Model architecture: DetectionModel (Ultralytics) ## Usage ```python from ultralytics import YOLO model = YOLO('kortxovision_1-20m.pt') results = model.predict('image.jpg')
Source context: 0 downloads · 0 likes · Repo mikeldiez/kortxoivision-20m
Source context: 0 downloads · 0 likes · Repo mikeldiez/kortxoivision-20m
