Although we can’t always get there, if we can’t beat the baseline after trying multiple reasonable architectures, maybe the input data doesn’t hold the information required for our model to make a prediction. In the wise and paraphrased words of Jeremy Howard: “You should be able to...
Classify Leaves InClass Prediction Competition 如图叶片分类竞赛主页面 任务是预测叶图像的类别。此数据集包含 176 个类别、18353 个训练图像、8800 个测试图像。每个类别至少有 50 张图像用于训练。测试集被均匀地分为公榜和私榜。 score 截至目前最高0.98386,(using TPU)不过微调resnet-50也可以获得0.9836的成绩 ...
I tried dilating the output prediction masks. Sometimes I got a small improvement, and sometimes got worse results so I stopped using it. Here is where I made the mistake that cost me 1st place. I had been using mean averaging (eg. train 5 models, take the mean prediction for each clas...
Train augmentations (from the Albumentations Python library): RandomResizedCrop, Transpose, HorizontalFlip. VerticalFlip, ShiftScaleRotate, Normalize Validation augmentations (from the Albumentations Python library): Resize, Normalize 5-fold-CV with 15 epochs (after the 15 training epochs, we always ch...
I stopped using this technique in favour of simply taking the highest defect prediction for each pixel. Dilation I tried dilating the output prediction masks. Sometimes I got a small improvement, and sometimes got worse results so I stopped using it. Ensemble Averaging Here is where I made the...
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Explore and run machine learning code with Kaggle Notebooks | Using data from Crop Yield Prediction Dataset
Explore and run machine learning code with Kaggle Notebooks | Using data from Crop Yield Prediction Dataset
Explore and run machine learning code with Kaggle Notebooks | Using data from Crop Yield Prediction Dataset
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