| Property | Value |
|---|---|
| Architecture | YOLO11s (Ultralytics) |
| Parameters | 9.4M |
| GFLOPs | 21.3 |
| Input Size | 640×640 |
| Format | PyTorch (best.pt) |
| Export | TFLite float32 available |
| ID | Class |
|---|---|
| 0 | Healthy |
| 1 | Abnormal |
| Property | Value |
|---|---|
| Dataset | Custom dataset (Roboflow Universe) |
| Training Platform | Kaggle (CPU) |
| Framework | Ultralytics 8.4.x |
| Base Model | YOLO11s pretrained |
1from ultralytics import YOLO
2
3# Load the model
4model = YOLO("best.pt")
5
6# Run inference
7results = model("chicken_image.jpg")
8
9# Display results
10results[0].show()1from ultralytics import YOLO
2
3model = YOLO("best.pt")
4model.export(format="tflite", imgsz=640)