Filter dataset to 1707 images (drop top-cropped robots)

README.md

@@ -15,7 +15,7 @@ size_categories:
 
 # NUpbr RoboCup Jersey-Colour Robot Detection Dataset
 
-2,000 physically-based-rendered images of RoboCup Humanoid Soccer scenes,
+1,707 physically-based-rendered images of RoboCup Humanoid Soccer scenes,
 generated with [NUpbr](https://github.com/NUbots/NUpbr), each
 containing 1-4 robots and one ball, with per-instance bounding boxes and,
 for each robot, a jersey colour.
@@ -28,10 +28,17 @@ colour-conditioned role classification (e.g. teammate/opponent assignment
 from an externally supplied reference colour), in addition to standard
 robot/ball detection.
 
+Robots whose bounding box is cropped at the top edge of the frame are
+excluded from the annotations: a top-cropped box typically shows only legs,
+with the jersey-bearing torso cut off entirely, leaving no colour signal to
+learn from. Images left with no remaining robots after this filter are
+dropped outright. 2,000 raw renders were filtered down to the 1,707 images
+and 2,702 robot instances published here.
+
 ## Dataset structure
 
-```
-images/000001.png ... images/002000.png    1280x1024 RGBA renders
+```text
+images/000001.png ... images/001707.png    1280x1024 RGBA renders
 metadata.jsonl                              one JSON object per image
 ```
 
@@ -69,3 +76,7 @@ randomised per frame; a frame is discarded and regenerated if it does not
 end up with between one and four visible robots, or if any visible robot or
 ball would otherwise be left without a valid bounding box (occluded,
 out of frame, or an implausible fisheye-projection artifact).
+
+After rendering, robots whose box is cropped at the top edge of the frame
+are removed from the annotations (jersey not visible), and any image left
+with no annotated robots as a result is dropped from the release entirely.