{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Pembalakan\n",
"\n",
"EfficientNet-Unet trained on https://github.com/BioWar/Satellite-Image-Segmentation-using-Deep-Learning-for-Deforestation-Detection/tree/main/Dataset"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Checkpoints\n",
"\n",
"All checkpoints can get at https://huggingface.co/malay-huggingface/pembalakan"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Preparation script\n",
"\n",
"All scripts and notebooks can get at https://github.com/malaysia-ai/projects/tree/master/malaysia_ai_projects/pembalakan"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Install necessary requirements\n",
"\n",
"```bash\n",
"pip3 install tensorflow>=1.15 malaya-boilerplate==0.0.15 skimage\n",
"```"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"from malaysia_ai_projects import pembalakan"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## List available models"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" Size (MB) | \n",
" Test Loss | \n",
"
\n",
" \n",
" \n",
" \n",
" | efficientnet-b4 | \n",
" 79.9 | \n",
" 0.08283 | \n",
"
\n",
" \n",
" | efficientnet-b4-quantized | \n",
" 20.7 | \n",
" 0.08283 | \n",
"
\n",
" \n",
" | efficientnet-b2 | \n",
" 66.4 | \n",
" 0.09731 | \n",
"
\n",
" \n",
" | efficientnet-b2-quantized | \n",
" 17.1 | \n",
" 0.09731 | \n",
"
\n",
" \n",
"
\n",
"