Added datasets

.gitattributes

@@ -57,3 +57,11 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+bank-datasets/bank-pose-450/labels/train.cache filter=lfs diff=lfs merge=lfs -text
+bank-datasets/bank-pose-450/labels/val.cache filter=lfs diff=lfs merge=lfs -text
+presc-datasets/prescription-pose-200/labels/train.cache filter=lfs diff=lfs merge=lfs -text
+presc-datasets/prescription-pose-200/labels/val.cache filter=lfs diff=lfs merge=lfs -text
+presc-datasets/prescription-pose-400/labels/train.cache filter=lfs diff=lfs merge=lfs -text
+presc-datasets/prescription-pose-400/labels/val.cache filter=lfs diff=lfs merge=lfs -text
+bank-datasets filter=lfs diff=lfs merge=lfs -text
+presc-datasets filter=lfs diff=lfs merge=lfs -text

bank-datasets/bank-pose-200.yaml

@@ -0,0 +1,22 @@
+# Ultralytics YOLO 🚀, AGPL-3.0 license
+# COCO8-pose dataset (first 8 images from COCO train2017) by Ultralytics
+# Documentation: https://docs.ultralytics.com/datasets/pose/coco8-pose/
+# Example usage: yolo train data=coco8-pose.yaml
+# parent
+# ├── ultralytics
+# └── datasets
+#     └── coco8-pose  ← downloads here (1 MB)
+
+# Train/val/test sets as 1) dir: path/to/imgs, 2) file: path/to/imgs.txt, or 3) list: [path/to/imgs1, path/to/imgs2, ..]
+path: /home/gpuserver2x/workspace/taaha/doc_orientation/bankdatasets/bank-pose-200 # dataset root dir
+train: images/train # train images (relative to 'path') 4 images
+val: images/val # val images (relative to 'path') 4 images
+test: # test images (optional)
+
+# Keypoints
+kpt_shape: [4, 3] # number of keypoints, number of dims (2 for x,y or 3 for x,y,visible)
+
+# Classes
+nc: 1
+names:
+  0: document

bank-datasets/bank-pose-200/classes.txt

@@ -0,0 +1 @@
+document