Update README.md
Browse files
README.md
CHANGED
@@ -10,13 +10,13 @@ tags:
|
|
10 |
|
11 |
These models were trained for detecting both standing and fallen deadwood from UAV RGB images. All model configurations and weights here are fine-tuned from models available in [Detectron2 Model Zoo](https://github.com/facebookresearch/detectron2/blob/main/MODEL_ZOO.md).
|
12 |
|
13 |
-
The models are trained on 512x512px RGB image patches with spatial resolution between 3.
|
14 |
|
15 |
Example app is running on [https://huggingface.co/spaces/mayrajeo/maskrcnn-deadwood](https://huggingface.co/spaces/mayrajeo/maskrcnn-deadwood), which uses R101 backbone without TTA.
|
16 |
|
17 |
## Training data
|
18 |
|
19 |
-
These models were trained on expert-annotated deadwood data, acquired on during leaf-on season 16.-17.7.2019 from Hiidenportti, Sotkamo, Eastern-Finland. The ground resolution for the data varied between 3.9 and 4.
|
20 |
|
21 |
## Results
|
22 |
|
|
|
10 |
|
11 |
These models were trained for detecting both standing and fallen deadwood from UAV RGB images. All model configurations and weights here are fine-tuned from models available in [Detectron2 Model Zoo](https://github.com/facebookresearch/detectron2/blob/main/MODEL_ZOO.md).
|
12 |
|
13 |
+
The models are trained on 512x512px RGB image patches with spatial resolution between 3.9 cm and 4.3 cm and with hand-annotated deadwood data based on visual inspection. The location of training dataset is in the vicinity of Hiidenportti national, Sotkamo, Finland, and the images were acquired during leaf-on season, on 16. and 17.7.2019. Most likely the models are most suitable to use with imagery from leaf-on season and with similar ground sampling distance.
|
14 |
|
15 |
Example app is running on [https://huggingface.co/spaces/mayrajeo/maskrcnn-deadwood](https://huggingface.co/spaces/mayrajeo/maskrcnn-deadwood), which uses R101 backbone without TTA.
|
16 |
|
17 |
## Training data
|
18 |
|
19 |
+
These models were trained on expert-annotated deadwood data, acquired on during leaf-on season at 16.-17.7.2019 from Hiidenportti, Sotkamo, Eastern-Finland. The ground resolution for the data varied between 3.9 and 4.4 cm. In addition, the model was tested with data collected from Evo, Hämeenlinna, Southern-Finland, acquired on 11.7.2018. The data from Evo was used only for testing the models.
|
20 |
|
21 |
## Results
|
22 |
|