Addax-Data-Science
commited on
Commit
•
356d295
1
Parent(s):
a5f3c9d
Update README.md
Browse files
README.md
CHANGED
@@ -10,4 +10,44 @@ tags:
|
|
10 |
- conservation
|
11 |
- nature
|
12 |
- namibian fauna
|
13 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
10 |
- conservation
|
11 |
- nature
|
12 |
- namibian fauna
|
13 |
+
---
|
14 |
+
<p align="center">
|
15 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/65b2145106d8b551236a86be/I9ztrZIJ02wQ5pA55XuKl.jpeg" alt="3-768x576.jpg" width="50%" />
|
16 |
+
</p>
|
17 |
+
|
18 |
+
This is a species classification model for camera trap images to identify 30 species or higher level taxons present in the Skeleton Coast National Park. The model was trained on a set of more than 850,000 images. The classification model has an overall validation accuracy of 95.3%, a precision of 95.4%, and a recall of 95.3%. It is designed to be used in conjunction with MegaDetector as a feature extractor. This pipeline is integrated into the open-source camera trap analysis software [EcoAssist](https://addaxdatascience.com/ecoassist/).
|
19 |
+
|
20 |
+
More info on the model: https://addaxdatascience.com/projects/2023-01-dlc/
|
21 |
+
|
22 |
+
| Class | Precision | Recall | Accuracy |
|
23 |
+
|-------------------|-----------|---------|----------|
|
24 |
+
| aardwolf | 84.9% | 93.5% | 89.0% |
|
25 |
+
| african wild cat | 98.9% | 98.5% | 98.7% |
|
26 |
+
| baboon | 93.9% | 96.5% | 95.2% |
|
27 |
+
| bird | 92.1% | 92.9% | 92.5% |
|
28 |
+
| brown hyaena | 96.3% | 97.6% | 97.0% |
|
29 |
+
| caracal | 75.0% | 85.7% | 80.0% |
|
30 |
+
| cattle | 96.2% | 99.1% | 97.6% |
|
31 |
+
| cheetah | 88.8% | 95.9% | 92.2% |
|
32 |
+
| donkey | 93.0% | 67.7% | 78.4% |
|
33 |
+
| elephant | 97.3% | 95.5% | 96.4% |
|
34 |
+
| fox | 80.4% | 77.4% | 78.9% |
|
35 |
+
| gemsbok | 94.4% | 96.1% | 95.3% |
|
36 |
+
| genet | 87.5% | 50.0% | 63.6% |
|
37 |
+
| giraffe | 97.5% | 96.9% | 97.2% |
|
38 |
+
| hare | 98.6% | 97.5% | 98.0% |
|
39 |
+
| honey badger | 70.7% | 78.4% | 74.4% |
|
40 |
+
| hyrax | 94.1% | 100.0% | 97.0% |
|
41 |
+
| jackal | 83.5% | 90.5% | 86.9% |
|
42 |
+
| klipspringer | 77.8% | 93.3% | 84.8% |
|
43 |
+
| kudu | 90.8% | 98.8% | 94.6% |
|
44 |
+
| leopard | 93.4% | 81.4% | 87.0% |
|
45 |
+
| lion | 96.8% | 96.6% | 96.7% |
|
46 |
+
| mongoose | 76.5% | 89.5% | 82.5% |
|
47 |
+
| ostrich | 92.9% | 94.9% | 93.9% |
|
48 |
+
| porcupine | 98.0% | 96.5% | 97.2% |
|
49 |
+
| rhinoceros | 89.1% | 94.8% | 91.9% |
|
50 |
+
| spotted hyaena | 96.4% | 92.9% | 94.6% |
|
51 |
+
| springbok | 91.5% | 90.3% | 90.9% |
|
52 |
+
| steenbok | 85.7% | 95.0% | 90.1% |
|
53 |
+
| zebra | 98.1% | 93.5% | 95.7% |
|