| --- |
| language: |
| - en |
| license: mit |
| task_categories: |
| - image-classification |
| tags: |
| - thermal-imaging |
| - anomaly-detection |
| - autoencoder |
| - electrical-fault-detection |
| - infrared |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # CA_Training_Data -- Convolutional Autoencoder (Track A) |
|
|
| Curated dataset for training and evaluating the Convolutional Autoencoder anomaly detection model. |
|
|
| ## Approach |
|
|
| The autoencoder is trained **only on normal (no-fault) images**. At inference, high reconstruction error indicates an anomaly/fault. |
|
|
| ## Structure |
|
|
| ``` |
| train/normal/ -- Normal images for autoencoder training |
| electric_motor/ -- 168 PNG (Electric Motor Thermal Fault Diagnosis, no_fault class) |
| induction_motor/ -- 20 BMP (Thermal Images of Induction Motor, Noload class) |
| pv_om_inspection/ -- 7,836 TIFF (PV System O&M Inspection, double-row + single-row) |
| pv_thermal_inspection/ -- 1,075 TIFF (PV System Thermal Inspection) |
| solar_modules/ -- 2,302 JPG (Infrared Solar Modules, No-Anomaly class) |
| |
| test/normal/ -- Held-out normal images for threshold calibration |
| electric_motor/ -- 28 PNG |
| induction_motor/ -- 5 BMP |
| |
| test/fault/ -- Fault images for evaluating anomaly detection |
| electric_motor/ -- 173 PNG (Electric Motor Thermal Fault Diagnosis, fault class) |
| induction_motor/ -- 344 BMP (Thermal Images of Induction Motor, 10 fault conditions) |
| ``` |
|
|
| ## Total Counts |
|
|
| | Split | Normal | Fault | Total | |
| |-------|--------|-------|-------| |
| | Train | 11,401 | 0 | 11,401 | |
| | Test | 33 | 517 | 550 | |
|
|
| ## Source Datasets |
|
|
| | Directory | Source Dataset | Domain | |
| |-----------|--------------|--------| |
| | electric_motor | Electric Motor Thermal image Fault Diagnosis DATASET | Electrical (primary) | |
| | induction_motor | Thermal Images of Induction Motor Dataset | Electrical (primary) | |
| | pv_om_inspection | Photovoltaic System O&M inspection | Solar PV (adjacent) | |
| | pv_thermal_inspection | Photovoltaic system thermal inspection | Solar PV (adjacent) | |
| | solar_modules | Infrared Solar Modules (No-Anomaly only) | Solar PV (adjacent) | |
| |
| ## Notes |
| |
| - PV O&M files are prefixed `dr_` (double-row) and `sr_` (single-row) to avoid filename collisions |
| - Solar module images were filtered from module_metadata.json (anomaly_class == "No-Anomaly") |
| - Test/normal hold-out is ~14-20% of electrical equipment normal images |
| - Image formats are mixed (PNG, BMP, TIFF, JPG) -- preprocessing/normalization is required before training |
| |
