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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

Quellehuggingface.co/mikeldiez/kortxoivision-20m/tree/8805af0e59d8c1f8d4d9424ac2391f085188554b
ArtOtherBasismodellUltralytics/YOLO11VersionRevision 8805af0Verleger@mikeldiezCBewertung

Modellquelle

Art
Other
Dateigröße
38,7 MB
Basismodell
Ultralytics/YOLO11
Version
vRevision 8805af0
Aktualisiert
2. Okt. 2026
Verleger
@mikeldiez
Downloads
0
Parameter
20M
Quelle
Hugging Face

Quellenbeschreibung

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')

Quellen

1 Quelle
Hugging FacePrimärVersion 8805af0e59d8c1f8d4d9424ac2391f085188554b
huggingface.co/mikeldiez/kortxoivision-20m/tree/8805af0e59d8c1f8d4d9424ac2391f085188554b

Verifiziert 2. Okt.

Modellartefakte

1 Artefakt

kortxovision_1-20m.pt

pt · 38,7 MB · SHA-256 56927ccd0126…629a · Hugging Face

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Quellenauszüge

3 Auszüge
Readme11. Julihuggingface.co/mikeldiez/kortxoivision-20m

--- 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')

Note11. Julihuggingface.co/mikeldiez/kortxoivision-20m

Source context: 0 downloads · 0 likes · Repo mikeldiez/kortxoivision-20m

Note29. Apr.huggingface.co/api/models/mikeldiez/kortxoivision-20m

Source context: 0 downloads · 0 likes · Repo mikeldiez/kortxoivision-20m