ATTRIBUTION.md

Source and modification notices

This exploratory reference uses selected images and publisher-generated masks from Controlled Diet (CD) Dataset for Methane Plume Detection, by Mohamed G. Embaby, Toqi Tahamid Sarker, Amer AbuGhazaleh and Khaled R. Ahmed, Southern Illinois University Carbondale.

• Dataset: baselab/controlled-diet-methane-dataset.
• Exact revision: 9475f96c32dd4764471e4358ca6659b0dd348ecd.
• Pinned LICENSE and dataset card explicitly declare Creative Commons Attribution 4.0 International.
• License terms.
• Associated paper: Optical gas imaging and deep learning for quantifying enteric methane emissions from rumen fermentation in vitro, IET Image Processing, 2025. This pilot is not a reproduction of its models or chemical-measurement result.

The source metadata JSON separately declares CC0-1.0. That inconsistency remains unresolved. This work elects the explicit CC BY 4.0 grant, keeps attribution and change notices, and makes no public-domain claim. No author endorsement is implied. Source PNG bytes are preserved; their full hashes are the pinned LFS SHA256.

Changes for this work: a prospectively chosen compact subset, entire recording IDs assigned to disjoint development roles, classes collapsed to nonzero binary mask occupancy, 320×240 rendered RGB preprocessing and fractional 2×2 training targets, native-resolution scoring, conventional and compact from-scratch CPU references. The original filenames, bytes and publisher mask codes remain in the source manifest. The code 2/class 3 and code 3/class 2 correspondence is checked.

The new original implementation is MIT licensed. NumPy and Pillow retain their own notices in the pinned official dependency wheels. No pretrained gas weights, Gasformer/LangGas author software, client architecture, plant telemetry or robot capture is included. Learned scores reproduce weak mask labels; they are not physical methane confidence, concentration, leak absence or field qualification.