Train Ultralytics YOLO11 on the ImageNet10 dataset!
A small-scale subset of ImageNet is designed for CI tests and quick training pipeline validation, while preserving the original dataset’s structure.
Learn more ➡️ ow.ly/BOif50VSnWi#ImageNet10#ImageClassification#AI
Code 😍
"""""
from ultralytics import YOLO
# Load a model
model = YOLO("yolo11n-cls.pt") # load a pretrained model (recommended for training)
# Train the model
results = model.train(data="imagenet10", epochs=5, imgsz=224)
"""""
Train Ultralytics YOLO11 on the ImageNet10 dataset!
Leverage this subset of ImageNet, featuring 20 images across 10 classes, to quickly test and validate YOLO11 image classification models. Ideal for CI tests and rapid prototyping.
Learn more ➡️ ow.ly/It2Z50UYlcl#AI#ML