Object Detection
ultralytics
yolo
agriculture
livestock
cattle
calving
animal-welfare
computer-vision
Instructions to use CowcatcherAI/Calvingcatcher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use CowcatcherAI/Calvingcatcher with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("CowcatcherAI/Calvingcatcher", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -38,10 +38,14 @@ We are farmers, and we trained these models on our own barn footage. Instead of
|
|
| 38 |
legs, a head coming through. That way the system around the model can reason about *how far along* a cow
|
| 39 |
is, not just whether something is happening.
|
| 40 |
|
| 41 |
-
**Our latest and best model is `
|
| 42 |
|
| 43 |
More about the full system: [jacobsfarm.github.io/website/projects/calvingcatcher](https://jacobsfarm.github.io/website/projects/calvingcatcher/)
|
| 44 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
---
|
| 46 |
|
| 47 |
## What we detect
|
|
|
|
| 38 |
legs, a head coming through. That way the system around the model can reason about *how far along* a cow
|
| 39 |
is, not just whether something is happening.
|
| 40 |
|
| 41 |
+
**Our latest and best model is `CalvingcatcherV11.pt`.** It is what we run ourselves.
|
| 42 |
|
| 43 |
More about the full system: [jacobsfarm.github.io/website/projects/calvingcatcher](https://jacobsfarm.github.io/website/projects/calvingcatcher/)
|
| 44 |
|
| 45 |
+
Results on a test set
|
| 46 |
+

|
| 47 |
+
|
| 48 |
+
|
| 49 |
---
|
| 50 |
|
| 51 |
## What we detect
|