add model card

README.md

@@ -21,7 +21,7 @@ model-index:
 
     metrics:
       - type: precision  # since mAP@0.5 is not available on hf.co/metrics
-        value: 0.83153  # min: 0.0 - max: 1.0
+        value: 0.995  # min: 0.0 - max: 1.0
         name: mAP@0.5(box)
 ---
 
@@ -35,37 +35,3 @@ model-index:
 ['7894650008553']
 ```
 
-### How to use
-
-- Install [ultralyticsplus](https://github.com/fcakyon/ultralyticsplus):
-
-```bash
-pip install ultralyticsplus==0.0.29 ultralytics==8.0.239
-```
-
-- Load model and perform prediction:
-
-```python
-from ultralyticsplus import YOLO, render_result
-
-# load model
-model = YOLO('lucasaltmann/7894650008553')
-
-# set model parameters
-model.overrides['conf'] = 0.25  # NMS confidence threshold
-model.overrides['iou'] = 0.45  # NMS IoU threshold
-model.overrides['agnostic_nms'] = False  # NMS class-agnostic
-model.overrides['max_det'] = 1000  # maximum number of detections per image
-
-# set image
-image = 'https://github.com/ultralytics/yolov5/raw/master/data/images/zidane.jpg'
-
-# perform inference
-results = model.predict(image)
-
-# observe results
-print(results[0].boxes)
-render = render_result(model=model, image=image, result=results[0])
-render.show()
-```
-