Update README.md

README.md

@@ -1,190 +1,145 @@
----
-task_categories:
-- object-detection
-tags:
-- roboflow
-- roboflow2huggingface
-dataset_info:
-- config_name: full
-  features:
-  - name: image_id
-    dtype: int64
-  - name: image
-    dtype: image
-  - name: width
-    dtype: int32
-  - name: height
-    dtype: int32
-  - name: objects
-    sequence:
-    - name: id
-      dtype: int64
-    - name: area
-      dtype: int64
-    - name: bbox
-      sequence: float32
-      length: 4
-    - name: category
-      dtype:
-        class_label:
-          names:
-            '0': sun
-  splits:
-  - name: train
-    num_bytes: 116033440.923
-    num_examples: 4047
-  - name: validation
-    num_bytes: 10697357.0
-    num_examples: 374
-  - name: test
-    num_bytes: 5486934.0
-    num_examples: 184
-  download_size: 124477992
-  dataset_size: 132217731.923
-- config_name: mini
-  features:
-  - name: image_id
-    dtype: int64
-  - name: image
-    dtype: image
-  - name: width
-    dtype: int32
-  - name: height
-    dtype: int32
-  - name: objects
-    sequence:
-    - name: id
-      dtype: int64
-    - name: area
-      dtype: int64
-    - name: bbox
-      sequence: float32
-      length: 4
-    - name: category
-      dtype:
-        class_label:
-          names:
-            '0': sun
-  splits:
-  - name: train
-    num_bytes: 92832.0
-    num_examples: 3
-  - name: validation
-    num_bytes: 92832.0
-    num_examples: 3
-  - name: test
-    num_bytes: 92832.0
-    num_examples: 3
-  download_size: 292941
-  dataset_size: 278496.0
-configs:
-- config_name: full
-  data_files:
-  - split: train
-    path: full/train-*
-  - split: validation
-    path: full/validation-*
-  - split: test
-    path: full/test-*
-- config_name: mini
-  data_files:
-  - split: train
-    path: mini/train-*
-  - split: validation
-    path: mini/validation-*
-  - split: test
-    path: mini/test-*
----
-
-<div align="center">
-  <img width="640" alt="SamuelM0422/SunDataset" src="https://huggingface.co/datasets/SamuelM0422/SunDataset/resolve/main/thumbnail.jpg">
-</div>
-
-### Dataset Labels
-
-```
-['sun']
-```
-
-
-### Number of Images
-
-```json
-{'valid': 374, 'test': 184, 'train': 4047}
-```
-
-
-### How to Use
-
-- Install [datasets](https://pypi.org/project/datasets/):
-
-```bash
-pip install datasets
-```
-
-- Load the dataset:
-
-```python
-from datasets import load_dataset
-
-ds = load_dataset("SamuelM0422/SunDataset", name="full")
-example = ds['train'][0]
-```
-
-### Roboflow Dataset Page
-[https://universe.roboflow.com/samuelm0422/sundetection-bwqjs/dataset/1](https://universe.roboflow.com/samuelm0422/sundetection-bwqjs/dataset/1?ref=roboflow2huggingface)
-
-### Citation
-
-```
-@misc{
-                            sundetection-bwqjs_dataset,
-                            title = { SunDetection Dataset },
-                            type = { Open Source Dataset },
-                            author = { SamuelM0422 },
-                            howpublished = { \\url{ https://universe.roboflow.com/samuelm0422/sundetection-bwqjs } },
-                            url = { https://universe.roboflow.com/samuelm0422/sundetection-bwqjs },
-                            journal = { Roboflow Universe },
-                            publisher = { Roboflow },
-                            year = { 2025 },
-                            month = { apr },
-                            note = { visited on 2025-04-10 },
-                            }
-```
-
-### License
-CC BY 4.0
-
-### Dataset Summary
-This dataset was exported via roboflow.com on April 10, 2025 at 4:19 PM 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 4605 images.
-Sun-3Qf4-ywwQ-sun are annotated in COCO 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
-* 50% probability of vertical flip
-* Randomly crop between 0 and 20 percent of the image
-* Random rotation of between -15 and +15 degrees
-* Random shear of between -10° to +10° horizontally and -10° to +10° vertically
-* Random brigthness adjustment of between -15 and +15 percent
-
-
-
+---
+task_categories:
+- object-detection
+tags:
+- roboflow
+- roboflow2huggingface
+dataset_info:
+  features:
+  - name: image_id
+    dtype: int64
+  - name: image
+    dtype: image
+  - name: width
+    dtype: int32
+  - name: height
+    dtype: int32
+  - name: objects
+    sequence:
+    - name: id
+      dtype: int64
+    - name: area
+      dtype: int64
+    - name: bbox
+      sequence: float32
+      length: 4
+    - name: category
+      dtype:
+        class_label:
+          names:
+            '0': sun
+  splits:
+  - name: train
+    num_bytes: 116033440.923
+    num_examples: 4047
+  - name: validation
+    num_bytes: 10697357.0
+    num_examples: 374
+  - name: test
+    num_bytes: 5486934.0
+    num_examples: 184
+  download_size: 124477992
+  dataset_size: 132217731.923
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: full/test-*
+---
+
+<div align="center">
+  <img width="640" alt="SamuelM0422/SunDataset" src="https://huggingface.co/datasets/SamuelM0422/SunDataset/resolve/main/thumbnail.jpg">
+</div>
+
+### Dataset Labels
+
+```
+['sun']
+```
+
+
+### Number of Images
+
+```json
+{'valid': 374, 'test': 184, 'train': 4047}
+```
+
+
+### How to Use
+
+- Install [datasets](https://pypi.org/project/datasets/):
+
+```bash
+pip install datasets
+```
+
+- Load the dataset:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("SamuelM0422/SunDataset", name="full")
+example = ds['train'][0]
+```
+
+### Roboflow Dataset Page
+[https://universe.roboflow.com/samuelm0422/sundetection-bwqjs/dataset/1](https://universe.roboflow.com/samuelm0422/sundetection-bwqjs/dataset/1?ref=roboflow2huggingface)
+
+### Citation
+
+```
+@misc{
+                            sundetection-bwqjs_dataset,
+                            title = { SunDetection Dataset },
+                            type = { Open Source Dataset },
+                            author = { SamuelM0422 },
+                            howpublished = { \\url{ https://universe.roboflow.com/samuelm0422/sundetection-bwqjs } },
+                            url = { https://universe.roboflow.com/samuelm0422/sundetection-bwqjs },
+                            journal = { Roboflow Universe },
+                            publisher = { Roboflow },
+                            year = { 2025 },
+                            month = { apr },
+                            note = { visited on 2025-04-10 },
+                            }
+```
+
+### License
+CC BY 4.0
+
+### Dataset Summary
+This dataset was exported via roboflow.com on April 10, 2025 at 4:19 PM 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 4605 images.
+Sun-3Qf4-ywwQ-sun are annotated in COCO 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
+* 50% probability of vertical flip
+* Randomly crop between 0 and 20 percent of the image
+* Random rotation of between -15 and +15 degrees
+* Random shear of between -10° to +10° horizontally and -10° to +10° vertically
+* Random brigthness adjustment of between -15 and +15 percent
+
+
+