test

README.md

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+---
+license: agpl-3.0
+base_model: ultralytics/yolo11n
+dataset: farzadnekouei/trash-type-image-dataset
+tags:
+  - object-detection
+  - yolov11
+  - trash-detection
+---
+
+# 🧠 Trash Detection Model (YOLOv11n)
+
+This model detects and classifies **trash types (plastic, paper, glass, trash)** using YOLOv11n.  
+It was trained on the [Trash Type Image Dataset](https://www.kaggle.com/datasets/farzadnekouei/trash-type-image-dataset) from Kaggle.
+
+---
+
+## 📂 Dataset
+- **Source:** [Kaggle Trash Type Image Dataset](https://www.kaggle.com/datasets/farzadnekouei/trash-type-image-dataset)  
+- **Classes:** `plastic`, `paper`, `glass`, `trash`  
+- **License:** Follows the original dataset's Kaggle terms.  
+- The dataset was split into `train` and `val` folders for YOLO format.
+
+---
+
+## ⚙️ Training Details
+- **Base model:** `ultralytics/yolo11n.pt`
+- **Framework:** [Ultralytics YOLO](https://github.com/ultralytics/ultralytics)
+- **Image size:** 320 
+- **Epochs:** 30  
+- **Batch size:** 2
+- **Hardware:** Jetson Orin Nano
+
+---
+
+## 🧩 Usage
+```python
+from huggingface_hub import hf_hub_download
+from ultralytics import YOLO
+
+model_path = hf_hub_download(
+    repo_id="Alope/trash-detection-yolo11n",
+    filename="best.pt"
+)
+model = YOLO(model_path)
+results = model.predict(source="test.jpg", show=True)

best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:13554af414247d33db7d56551e1afb2cb7d0ac5462de5d66df96a81a02fe648d
+size 5425562

data.yaml

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+nc: 4
+names: ['glass', 'paper', 'plastic', 'trash']