Update configuration and test structure for improved clarity and functionality

- Modified `.gitignore` to include test fixture data while excluding test results.
- Updated `config.yaml` to change the model from 'yolo11m.yaml' to 'yolo26m.pt'.
- Enhanced `.cursor/rules/coderule.mdc` with additional guidelines for test environment consistency and infrastructure handling.
- Revised autopilot state management in `_docs/_autopilot_state.md` to reflect current progress and tasks.
- Removed outdated augmentation tests and adjusted dataset formation tests to align with the new structure.

These changes streamline the configuration and testing processes, ensuring better organization and clarity in the project.

_docs/02_document/tests/blackbox-tests.md

@@ -1,61 +1,9 @@
 # Blackbox Test Scenarios
 
-## BT-AUG: Augmentation Pipeline
-
-### BT-AUG-01: Single image produces 8 outputs
-- **Input**: 1 image + 1 valid label from fixture dataset
-- **Action**: Run `Augmentator.augment_inner()` on the image
-- **Expected**: Returns list of exactly 8 ImageLabel objects
-- **Traces**: AC: 8× augmentation ratio
-
-### BT-AUG-02: Augmented filenames follow naming convention
-- **Input**: Image with stem "test_image"
-- **Action**: Run `augment_inner()`
-- **Expected**: Output filenames: `test_image.jpg`, `test_image_1.jpg` through `test_image_7.jpg`; matching `.txt` labels
-- **Traces**: AC: Augmentation output format
-
-### BT-AUG-03: All output bounding boxes in valid range
-- **Input**: 1 image + label with multiple bboxes
-- **Action**: Run `augment_inner()`
-- **Expected**: Every bbox coordinate in every output label is in [0.0, 1.0]
-- **Traces**: AC: Bounding boxes clipped to [0, 1]
-
-### BT-AUG-04: Bounding box correction clips edge bboxes
-- **Input**: Label with bbox near edge: `0 0.99 0.5 0.2 0.1`
-- **Action**: Run `correct_bboxes()`
-- **Expected**: Width reduced so bbox fits within [margin, 1-margin]; no coordinate exceeds bounds
-- **Traces**: AC: Bounding boxes clipped to [0, 1]
-
-### BT-AUG-05: Tiny bounding boxes removed after correction
-- **Input**: Label with tiny bbox that becomes < 0.01 after clipping
-- **Action**: Run `correct_bboxes()`
-- **Expected**: Bbox removed from output (area < correct_min_bbox_size)
-- **Traces**: AC: Bounding boxes with area < 0.01% discarded
-
-### BT-AUG-06: Empty label produces 8 outputs with empty labels
-- **Input**: 1 image + empty label file
-- **Action**: Run `augment_inner()`
-- **Expected**: 8 ImageLabel objects returned; all have empty labels lists
-- **Traces**: AC: Augmentation handles empty annotations
-
-### BT-AUG-07: Full augmentation pipeline (filesystem integration)
-- **Input**: 5 images + labels copied to data/ directory in tmp_path
-- **Action**: Run `augment_annotations()` with patched paths
-- **Expected**: 40 images (5 × 8) in processed images dir; 40 matching labels in processed labels dir
-- **Traces**: AC: 8× augmentation, filesystem output
-
-### BT-AUG-08: Augmentation skips already-processed images
-- **Input**: 5 images in data/; 3 already present in processed/ dir
-- **Action**: Run `augment_annotations()`
-- **Expected**: Only 2 new images processed (16 new outputs); existing 3 untouched
-- **Traces**: AC: Augmentation processes only unprocessed images
-
----
-
 ## BT-DSF: Dataset Formation
 
 ### BT-DSF-01: 70/20/10 split ratio
-- **Input**: 100 images + labels in processed/ dir
+- **Input**: 100 images + labels in data/ dir
 - **Action**: Run `form_dataset()` with patched paths
 - **Expected**: train: 70 images+labels, valid: 20, test: 10
 - **Traces**: AC: Dataset split 70/20/10