diff --git a/README.md b/README.md
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+# Reporte del Dataset: Drowsy & Normal
+
+Conteos de imágenes presentes en `raw_dataset_preprocessed`, generados con `summarize_dataset.py`.
+
+## Resumen General de Particiones
+
+| Conjunto | Drowsy | Normal | Total | % del total |
+| :--- | ---: | ---: | ---: | ---: |
+| Train | 8,707 | 8,972 | 17,679 | 64.29% |
+| Validación (CV) | 1,983 | 2,295 | 4,278 | 15.56% |
+| Test | 2,856 | 2,684 | 5,540 | 20.15% |
+| **Total** | **13,546** | **13,951** | **27,497** | **100%** |
+
+## Balance de Clases
+
+Criterio orientativo: aproximadamente balanceado si cada clase representa entre 45% y 55% de las imágenes (inclusive). Es una convención descriptiva, no una garantía de calidad o rendimiento del modelo.
+
+| Conjunto | % Drowsy | % Normal | Mayoritaria / minoritaria | Diagnóstico |
+| :--- | ---: | ---: | ---: | :--- |
+| Train | 49.25% | 50.75% | 1.03:1 | Aproximadamente balanceado |
+| Validación (CV) | 46.35% | 53.65% | 1.16:1 | Aproximadamente balanceado |
+| Test | 51.55% | 48.45% | 1.06:1 | Aproximadamente balanceado |
+| Total | 49.26% | 50.74% | 1.03:1 | Aproximadamente balanceado |
+
+**Conclusión global: aproximadamente balanceado.** El balance global puede ocultar diferencias por partición y persona.
+
+## Detalle por Persona y Fuente
+
+Las carpetas con identificadores corresponden a personas. `kaggle` es una fuente agregada; su carpeta no permite inferir cuántas personas contiene.
+
+### Train
+
+Personas identificadas: **39**.
+
+| Persona / fuente | Normal | Drowsy | Total | % Drowsy | Diagnóstico |
+| :--- | ---: | ---: | ---: | ---: | :--- |
+| 1 | 199 | 195 | 394 | 49.49% | Aproximadamente balanceado |
+| 2 | 203 | 202 | 405 | 49.88% | Aproximadamente balanceado |
+| 3 | 231 | 206 | 437 | 47.14% | Aproximadamente balanceado |
+| 6 | 153 | 111 | 264 | 42.05% | Desbalanceado |
+| 7 | 201 | 200 | 401 | 49.88% | Aproximadamente balanceado |
+| 8 | 200 | 196 | 396 | 49.49% | Aproximadamente balanceado |
+| 9 | 202 | 221 | 423 | 52.25% | Aproximadamente balanceado |
+| 11 | 210 | 119 | 329 | 36.17% | Desbalanceado |
+| 13 | 201 | 206 | 407 | 50.61% | Aproximadamente balanceado |
+| 14 | 205 | 208 | 413 | 50.36% | Aproximadamente balanceado |
+| 15 | 199 | 206 | 405 | 50.86% | Aproximadamente balanceado |
+| 16 | 125 | 158 | 283 | 55.83% | Desbalanceado |
+| 18 | 87 | 86 | 173 | 49.71% | Aproximadamente balanceado |
+| 19 | 69 | 181 | 250 | 72.40% | Desbalanceado |
+| 23 | 84 | 145 | 229 | 63.32% | Desbalanceado |
+| 25 | 200 | 195 | 395 | 49.37% | Aproximadamente balanceado |
+| 26 | 49 | 42 | 91 | 46.15% | Aproximadamente balanceado |
+| 27 | 62 | 41 | 103 | 39.81% | Desbalanceado |
+| 28 | 171 | 166 | 337 | 49.26% | Aproximadamente balanceado |
+| 29 | 213 | 120 | 333 | 36.04% | Desbalanceado |
+| 30 | 228 | 203 | 431 | 47.10% | Aproximadamente balanceado |
+| 33 | 197 | 185 | 382 | 48.43% | Aproximadamente balanceado |
+| 35 | 204 | 214 | 418 | 51.20% | Aproximadamente balanceado |
+| 36 | 51 | 56 | 107 | 52.34% | Aproximadamente balanceado |
+| 38 | 201 | 185 | 386 | 47.93% | Aproximadamente balanceado |
+| 39 | 205 | 192 | 397 | 48.36% | Aproximadamente balanceado |
+| 40 | 201 | 201 | 402 | 50.00% | Aproximadamente balanceado |
+| 42 | 18 | 13 | 31 | 41.94% | Desbalanceado |
+| 43 | 199 | 166 | 365 | 45.48% | Aproximadamente balanceado |
+| 45 | 86 | 103 | 189 | 54.50% | Aproximadamente balanceado |
+| 47 | 201 | 204 | 405 | 50.37% | Aproximadamente balanceado |
+| 49 | 79 | 120 | 199 | 60.30% | Desbalanceado |
+| 50 | 202 | 223 | 425 | 52.47% | Aproximadamente balanceado |
+| 52 | 201 | 157 | 358 | 43.85% | Desbalanceado |
+| 53 | 201 | 209 | 410 | 50.98% | Aproximadamente balanceado |
+| 54 | 213 | 211 | 424 | 49.76% | Aproximadamente balanceado |
+| 57 | 211 | 205 | 416 | 49.28% | Aproximadamente balanceado |
+| 58 | 187 | 201 | 388 | 51.80% | Aproximadamente balanceado |
+| 60 | 186 | 204 | 390 | 52.31% | Aproximadamente balanceado |
+| kaggle | 2,437 | 2,251 | 4,688 | 48.02% | Aproximadamente balanceado |
+| **Total Train** | **8,972** | **8,707** | **17,679** | **49.25%** | Aproximadamente balanceado |
+
+### Validación (CV)
+
+Personas identificadas: **9**.
+
+| Persona / fuente | Normal | Drowsy | Total | % Drowsy | Diagnóstico |
+| :--- | ---: | ---: | ---: | ---: | :--- |
+| 4 | 274 | 172 | 446 | 38.57% | Desbalanceado |
+| 5 | 205 | 169 | 374 | 45.19% | Aproximadamente balanceado |
+| 22 | 203 | 204 | 407 | 50.12% | Aproximadamente balanceado |
+| 31 | 183 | 177 | 360 | 49.17% | Aproximadamente balanceado |
+| 32 | 120 | 97 | 217 | 44.70% | Desbalanceado |
+| 37 | 228 | 216 | 444 | 48.65% | Aproximadamente balanceado |
+| 44 | 82 | 76 | 158 | 48.10% | Aproximadamente balanceado |
+| 48 | 186 | 132 | 318 | 41.51% | Desbalanceado |
+| 51 | 201 | 182 | 383 | 47.52% | Aproximadamente balanceado |
+| kaggle | 613 | 558 | 1,171 | 47.65% | Aproximadamente balanceado |
+| **Total Validación (CV)** | **2,295** | **1,983** | **4,278** | **46.35%** | Aproximadamente balanceado |
+
+### Test
+
+Personas identificadas: **11**.
+
+| Persona / fuente | Normal | Drowsy | Total | % Drowsy | Diagnóstico |
+| :--- | ---: | ---: | ---: | ---: | :--- |
+| 10 | 182 | 210 | 392 | 53.57% | Aproximadamente balanceado |
+| 12 | 188 | 167 | 355 | 47.04% | Aproximadamente balanceado |
+| 17 | 202 | 200 | 402 | 49.75% | Aproximadamente balanceado |
+| 20 | 208 | 199 | 407 | 48.89% | Aproximadamente balanceado |
+| 21 | 197 | 200 | 397 | 50.38% | Aproximadamente balanceado |
+| 24 | 123 | 128 | 251 | 51.00% | Aproximadamente balanceado |
+| 34 | 129 | 205 | 334 | 61.38% | Desbalanceado |
+| 46 | 196 | 198 | 394 | 50.25% | Aproximadamente balanceado |
+| 55 | 236 | 181 | 417 | 43.41% | Desbalanceado |
+| 56 | 204 | 209 | 413 | 50.61% | Aproximadamente balanceado |
+| 59 | 201 | 202 | 403 | 50.12% | Aproximadamente balanceado |
+| kaggle | 618 | 757 | 1,375 | 55.05% | Desbalanceado |
+| **Total Test** | **2,684** | **2,856** | **5,540** | **51.55%** | Aproximadamente balanceado |
+
+## Representación de Personas
+
+Personas únicas identificadas: **59** (excluye `kaggle`).
+Imágenes por persona, sumando particiones: mínimo **31**, máximo **446**. La representación por persona no es uniforme; algunas personas aportan más imágenes que otras.
+
+## Diferencia con el Reporte de Preprocesamiento
+
+`preprocessing_report.json` registra **23,836** imágenes guardadas, pero la carpeta contiene **27,497** imágenes actualmente. Los conteos de este README reflejan los archivos presentes. La causa de esta diferencia no se determina con este conteo.
+
+## Método y Regeneración
+
+Se cuentan archivos `.jpg`, `.jpeg`, `.png`, `.bmp` y `.webp` (sin distinguir mayúsculas). Se ignoran archivos ocultos, enlaces simbólicos y metadatos como `preprocessing_report.json`. No se decodifican imágenes ni se comprueban duplicados o identidades dentro de `kaggle`.
+
+Desde la raíz del proyecto:
+
+```bash
+python3 summarize_dataset.py --input-dir 'raw_dataset_preprocessed'
+```
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