{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.11.13","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"gpu","dataSources":[{"sourceId":113558,"databundleVersionId":14174843,"sourceType":"competition"}],"dockerImageVersionId":31154,"isInternetEnabled":false,"language":"python","sourceType":"notebook","isGpuEnabled":true}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"
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Published on November 7, 2025

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Author: Jocelyn C. Dumlao

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\n LinkedIn\n GitHub\n YouTube\n Kaggle\n
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","metadata":{}},{"cell_type":"markdown","source":"#

Imports Libraries

\n","metadata":{}},{"cell_type":"code","source":"import pandas as pd\nfrom pathlib import Path\n\n# Path setup\nCOMP_DIR = Path('/kaggle/input/recodai-luc-scientific-image-forgery-detection')\nOUT_DIR = Path('/kaggle/working')\n\n# Load sample submission\nss = pd.read_csv(COMP_DIR / 'sample_submission.csv')\n\n# ✅ EXACT FORMAT preserved\nss['annotation'] = 'authentic'\n\n# Save submission\nout_path = OUT_DIR / 'submission.csv'\nss.to_csv(out_path, index=False)\n\nprint(\"✅ Submission created!\")\ndisplay(ss.head())","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2025-11-07T16:06:28.429487Z","iopub.execute_input":"2025-11-07T16:06:28.429715Z","iopub.status.idle":"2025-11-07T16:06:29.683756Z","shell.execute_reply.started":"2025-11-07T16:06:28.429690Z","shell.execute_reply":"2025-11-07T16:06:29.682997Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"#

Dataset

","metadata":{}},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"#

Lightweight UNet

","metadata":{}},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"#

RLE encode

","metadata":{}},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"#

Load file lists & split

","metadata":{}},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"#

Training Utilities

","metadata":{}},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"#

Instantiate Model, Loss, Optimizer

","metadata":{}},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"#

Training Loop

","metadata":{}},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"#

Visualization

","metadata":{}},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"#

Validation F1

","metadata":{}},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"#

Test Prediction & Submission

","metadata":{}},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null},{"cell_type":"code","source":"","metadata":{"trusted":true},"outputs":[],"execution_count":null}]}