Datasets:

Adit-jain
/

Soccana_player_ball_detection_v1

Tasks:

Object Detection

Modalities:

Languages:

Size:

Tags:

Dataset card Data Studio Files Files and versions

Adit-jain commited on Jul 26

Commit

a714f11

·

verified ·

1 Parent(s): 3755539

Update README.md

Files changed (1) hide show

README.md +10 -10

README.md CHANGED Viewed

@@ -30,19 +30,19 @@ It is optimized for **object detection tasks**, especially focusing on soccer-re
 - ✅ 25,000 images (~1.5GB)
 - ✅ Annotations for 3 object classes:
-- `player`
-- `referee`
-- `ball`
 - ✅ Data format:
-- **Ultralytics YOLO format** (default)
-- **COCO JSON format** (included in separate folders)
 - ✅ Resolution variety:
-- `160x160`, `320x320`, `640x640`, and `1280x1080` (Full HD)
 - ✅ Includes:
-- **Sliced images** via [SAHI (Slicing Aided Hyper Inference)](https://github.com/obss/sahi)
-- **Background-only images**
-- **Multi-angle player views**
-- **Noisy and occluded samples** for robustness
 ---

 - ✅ 25,000 images (~1.5GB)
 - ✅ Annotations for 3 object classes:
+  - `player`
+  - `referee`
+  - `ball`
 - ✅ Data format:
+  - **Ultralytics YOLO format** (default)
+  - **COCO JSON format** (included in separate folders)
 - ✅ Resolution variety:
+  - `160x160`, `320x320`, `640x640`, and `1280x1080` (Full HD)
 - ✅ Includes:
+  - **Sliced images** via [SAHI (Slicing Aided Hyper Inference)](https://github.com/obss/sahi)
+  - **Background-only images**
+  - **Multi-angle player views**
+  - **Noisy and occluded samples** for robustness
 ---