{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":98450,"databundleVersionId":11749951,"sourceType":"competition"}],"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import os\nimport torch\nimport pandas as pd\nfrom skimage import io, transform\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom torch.utils.data import Dataset, DataLoader\nfrom torchvision import transforms, utils\nfrom tqdm import tqdm\nimport warnings\nwarnings.filterwarnings(\"ignore\")","metadata":{"_uuid":"f7d8cb5f-1cdc-4137-9ac1-728fe5a8d63b","_cell_guid":"ff47627f-fafa-40d7-9863-78b165abe8c3","trusted":true,"jupyter":{"source_hidden":true}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"I am not really a Ml expert, but I believe there is not much spectral information in the provided dataset. Maybe this is a topic for the Discussion section. I decided to post it here to demonstrate my code.\n\nI used the following class to load the data:","metadata":{}},{"cell_type":"code","source":"class CropsDataset(Dataset):\n\n    def __init__(self, csv_file, root_dir, return_labels=True):\n\n        self.frame = pd.read_csv(csv_file)\n        self.root_dir = root_dir\n        self.transform = transform\n        self.return_labels = return_labels\n        \n        self.training = \"label\" in self.frame.columns\n        self.train_x = self.frame if not self.training else self.frame.drop(\"label\", axis=1)\n    \n    def __len__(self):\n        return len(self.frame)\n\n    def __getitem__(self, idx):\n        if torch.is_tensor(idx):\n            idx = idx.tolist()\n\n        img_name = os.path.join(self.root_dir,\n                                self.train_x.iloc[idx, 0])\n        image = np.load(img_name)\n        # dropping some first and last spectral bands\n        image = image[..., 10:110]\n    \n            \n        if not self.training or not self.return_labels:\n            return image\n        \n        label = self.frame.iloc[idx, 1]\n        return (image, label)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"ROOT = \"/kaggle/input/beyond-visible-spectrum-ai-for-agriculture-2025/ot/ot\"\nTRAIN_PATH = \"/kaggle/input/beyond-visible-spectrum-ai-for-agriculture-2025/train.csv\"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"dataset = CropsDataset(TRAIN_PATH, ROOT, return_labels=False)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"After deleting some images from the dataset, which had (128, 57) dimensions unlike all the other 128 by 128 datapoints, I decided to apply PCA in order to reduce the number of spectral dimensions.","metadata":{}},{"cell_type":"code","source":"from sklearn.decomposition import IncrementalPCA\n\n# using incremental algorithm version for memory efficiency\nipca = IncrementalPCA()\n\n# Process images in batches\nbatch_size = 100  # Adjust based on memory\nfor i in tqdm(range(0, len(dataset), batch_size)):\n    \n    # the last batch is less than batch_size elements\n    if i + batch_size >= len(dataset):\n        batch = [dataset[j] for j in range(i, len(dataset) - 1)]\n    else:\n        batch = [dataset[j] for j in range(i, i+batch_size)]\n    \n    # reshaping hyperspectral images into 128*128 by 100 matrices\n    # then stacking them on top of each other to use as input for PCA\n    batch_pixels = np.vstack([img.reshape(-1, 100) for img in batch])\n    ipca.partial_fit(batch_pixels)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"After fitting IncrementalPCA lets output cumulative sums of variance ratios for each principal component","metadata":{}},{"cell_type":"code","source":"ex_var = np.array(ipca.explained_variance_ratio_)\nnp.cumsum(ex_var)","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Output:\n```\narray([0.78396846, 0.9972812 , 0.99857691, 0.99936036, 0.99950782,\n       0.99956408, 0.99960757, 0.99963818, 0.99966147, 0.99968066,\n       0.99969661, 0.99970998, 0.99972149, 0.99973182, 0.99974148,\n       0.99975045, 0.99975904, 0.99976745, 0.99977521, 0.99978254,\n       0.99978918, 0.99979523, 0.99980106, 0.99980644, 0.99981166,\n       0.99981661, 0.99982135, 0.99982579, 0.99983013, 0.9998344 ,\n       0.99983856, 0.99984254, 0.99984647, 0.99985037, 0.99985413,\n       0.99985783, 0.99986145, 0.99986503, 0.99986853, 0.999872  ,\n       0.99987541, 0.99987878, 0.99988214, 0.99988545, 0.99988872,\n       0.99989193, 0.99989513, 0.99989828, 0.99990142, 0.99990445,\n       0.99990746, 0.99991042, 0.99991334, 0.99991623, 0.99991905,\n       0.99992182, 0.99992458, 0.99992727, 0.99992989, 0.99993246,\n       0.99993499, 0.99993748, 0.99993989, 0.99994226, 0.99994458,\n       0.99994683, 0.999949  , 0.99995115, 0.99995324, 0.99995522,\n       0.99995719, 0.99995909, 0.99996092, 0.99996272, 0.99996449,\n       0.99996621, 0.9999679 , 0.99996957, 0.99997121, 0.99997282,\n       0.99997441, 0.99997599, 0.99997755, 0.9999791 , 0.99998061,\n       0.9999821 , 0.99998358, 0.999985  , 0.99998639, 0.99998776,\n       0.99998913, 0.99999045, 0.99999177, 0.99999305, 0.99999431,\n       0.99999555, 0.99999675, 0.9999979 , 0.999999  , 1.        ])```","metadata":{}},{"cell_type":"markdown","source":"It appears that the first two components explain 99.72% of all the variance in the dataset. This is strange, considering that we have 100 spectral channels. \n\nI then built a model with a few 2D convolution layers plus channel and spatial attentions (heavily inspired by Nikita Manaenkov's notebook), using the first four pca components as channels. The model didn't seem to capture any relationships in the data.\n\nUsing raw (128, 128, 100) data format to train the same architecture, I managed to get 851.01005 LB score, which is one of the top results at the moment. Model predictions on the test data looked like this:","metadata":{}},{"cell_type":"markdown","source":"![image.png](attachment:a17891af-8bbf-42b3-93b1-4e55f2f8b2cd.png)","metadata":{},"attachments":{"a17891af-8bbf-42b3-93b1-4e55f2f8b2cd.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"Training data labels are quite uniformly distributed numbers from 0 to 100, so the model just learned to predict dataset mean in order to minimize mean squared error. ","metadata":{}},{"cell_type":"markdown","source":"Considering the fact that this result is one of the best (for now), and PCA insights mentioned above, is something wrong with the data? Or is it just my skill issue? I would greatly appreciate if someone can clarify this.\n","metadata":{}},{"cell_type":"markdown","source":"I apologize if posting something like this in \"Code\" section is inappropriate.","metadata":{}}]}