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@@ -33,3 +33,23 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
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README.dataset.txt

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+# Rupee Vision > rv-indian-coins-v1
+https://universe.roboflow.com/satyam-shorrf/rupee-vision
+
+Provided by a Roboflow user
+License: CC BY 4.0
+

README.roboflow.txt

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+
+Rupee Vision - v1 rv-indian-coins-v1
+==============================
+
+This dataset was exported via roboflow.com on December 21, 2025 at 3:28 AM GMT
+
+Roboflow is an end-to-end computer vision platform that helps you
+* collaborate with your team on computer vision projects
+* collect & organize images
+* understand and search unstructured image data
+* annotate, and create datasets
+* export, train, and deploy computer vision models
+* use active learning to improve your dataset over time
+
+For state of the art Computer Vision training notebooks you can use with this dataset,
+visit https://github.com/roboflow/notebooks
+
+To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
+
+The dataset includes 446 images.
+Coins are annotated in YOLOv8 Oriented Object Detection format.
+
+The following pre-processing was applied to each image:
+* Auto-orientation of pixel data (with EXIF-orientation stripping)
+* Resize to 640x640 (Stretch)
+
+The following augmentation was applied to create 3 versions of each source image:
+* 50% probability of horizontal flip
+* Random rotation of between -10 and +10 degrees
+* Random brigthness adjustment of between -15 and +15 percent
+* Random exposure adjustment of between -10 and +10 percent
+
+

data.yaml

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+train: train/images
+val: valid/images
+test: test/images
+
+names: 
+  0: 10-rupee
+  1: 2-rupee
+  2: 20-rupee
+  3: 5-rupee
+  4: coins

test/labels/image003_jpg.rf.31a58b72ba39b3303827410b12d4b2fd.txt

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test/labels/image003_jpg.rf.7775fe400779c565de8b263ab61d7a88.txt

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test/labels/image004_jpg.rf.554cf4a4c0caf4538253cce2ac5d18d0.txt

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test/labels/image004_jpg.rf.6bfa753aefa6d74e2028b5cc33fd7a06.txt

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test/labels/image006_jpg.rf.7207f66313b7782ab7f14744029bfb8a.txt

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test/labels/image007_jpg.rf.5dba73ecab329994bf3e420fadb79273.txt

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test/labels/image007_jpg.rf.6c880496497084da7fb11b26fe7a82d4.txt

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test/labels/image007_jpg.rf.714bbd909970ad52be4af7aa4c594ed7.txt

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test/labels/image008_jpg.rf.24b42a02f2ee650aa250abdf0e14b1a8.txt

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+3 0.909375 0.10468750000000009 0.1921875 0.10468750000000004 0.19218750000000004 0.8796875 0.909375 0.8796875

test/labels/image011_jpg.rf.9f2726f85e66ed22339b060d59e71704.txt

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test/labels/image015_jpg.rf.4ebdb24ab84942f40a28515c26def8b0.txt

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test/labels/image018_jpg.rf.fd23c831d5052c26ffdbec601457484a.txt

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test/labels/image021_jpg.rf.513498f0f49e9ace8f8776b098283c81.txt

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test/labels/image023_jpg.rf.0a37b72e6ba0202811c9dff51774a078.txt

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test/labels/image026_jpg.rf.663008761e58ab6ed4129df116b38282.txt

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test/labels/image037_jpg.rf.7d53f17a5c1d47e43dd22fbf6dec9dbf.txt

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test/labels/image059_jpg.rf.766990443636ae3936f81c6f07325923.txt

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test/labels/image087_jpg.rf.4b5f69b5283cfa3ab718c5d764c8faa7.txt

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