From d86ec3736efaabbea6c1d07549e2a605a5c928ae Mon Sep 17 00:00:00 2001 From: Alexandre Delplanque <61557006+Alexandre-Delplanque@users.noreply.github.com> Date: Thu, 12 Oct 2023 11:23:44 +0200 Subject: [PATCH] fix: new link for UAV dataset #2 --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index f12da5c..45c7bb7 100644 --- a/README.md +++ b/README.md @@ -34,7 +34,7 @@ Models were trained separatly for each of the two datasets. These pre-trained mo | Model | Params | Dataset | Environment | Species | F1score | MAE¹ | RMSE² | AC³ | Download | | ------- |:------:| ------------------------------------------------------------ | ---- | ------------------------------------------------ |:-------:|:----:|:-----:|:-----:|:--------------------------------------------------------------------------------------------:| | HerdNet | 18M | Ennedi 2019 | Desert, xeric shrubland and grassland | Camel, donkey, sheep and goat | 73.6% | 6.1 | 9.8 | 15.8% | [PTH file](https://drive.google.com/uc?export=download&id=1CetqTS3VSilMI98Fx_u-yeNr7zBZYh94) | -| HerdNet | 18M | [Delplanque et al. (2022)](https://doi.org/10.1002/rse2.234) | Tropical forest, savanna, tropical shrubland and grassland | Buffalo, elephant, kob, topi, warthog, waterbuck | 83.5% | 1.9 | 3.6 | 7.8% | [PTH file](https://drive.google.com/uc?export=download&id=1-WUnBC4BJMVkNvRqalF_HzA1_pRkQTI_) | +| HerdNet | 18M | [Delplanque et al. (2022)](https://doi.org/10.58119/ULG/MIRUU5) | Tropical forest, savanna, tropical shrubland and grassland | Buffalo, elephant, kob, topi, warthog, waterbuck | 83.5% | 1.9 | 3.6 | 7.8% | [PTH file](https://drive.google.com/uc?export=download&id=1-WUnBC4BJMVkNvRqalF_HzA1_pRkQTI_) | ¹MAE, Mean Absolute Error; ²RMSE, Root Mean Square Error; ³AC, Average Confusion between species. @@ -285,8 +285,8 @@ torch.save(pth_file, 'path/to/the/file.pth') ``` ## Colab Demo -Here is a [Google Colab demo](https://colab.research.google.com/github/Alexandre-Delplanque/HerdNet/blob/main/notebooks/demo-training-testing-herdnet.ipynb) based on the UAV nadir dataset used in the paper: +Here is a [Google Colab demo](https://colab.research.google.com/github/Alexandre-Delplanque/HerdNet/blob/main/notebooks/demo-training-testing-herdnet.ipynb) based on the [UAV nadir dataset](https://doi.org/10.58119/ULG/MIRUU5) used in the paper: > *Delplanque, A., Foucher, S., Lejeune, P., Linchant, J. and Théau, J. (2022), Multispecies detection and identification of African mammals in aerial imagery using convolutional neural networks. Remote Sens Ecol Conserv, 8: 166-179. https://doi.org/10.1002/rse2.234*. ## Code Versioning -The code used in the paper is the one corresponding to the tag [`v0.1.0`](https://github.com/Alexandre-Delplanque/HerdNet/releases/tag/v0.1.0). The 'main' branch contains the latest stable version with fixed bugs and new features, it is recommended to use this branch for your development. The file [CHANGELOG.md](https://github.com/Alexandre-Delplanque/HerdNet/tree/main/CHANGELOG.md) contains the details of the commits for each version of the code. \ No newline at end of file +The code used in the paper is the one corresponding to the tag [`v0.1.0`](https://github.com/Alexandre-Delplanque/HerdNet/releases/tag/v0.1.0). The 'main' branch contains the latest stable version with fixed bugs and new features, it is recommended to use this branch for your development. The file [CHANGELOG.md](https://github.com/Alexandre-Delplanque/HerdNet/tree/main/CHANGELOG.md) contains the details of the commits for each version of the code.