# Plant Detection
* Deep learning model [Yolox](https://github.com/Megvii-BaseDetection/YOLOX)
* Dataset [Plant Village](https://www.tensorflow.org/datasets/catalog/plant_village)

| class name | class name | class name | class name |
| ------------------------- | --------------------- | ------------------------- | --------------------- |
| Apple_scab | Apple_black_rot | Apple_cedar_apple_rust | Apple_healthy |
| Background_without_leaves | Blueberry_healthy | Cherry_powdery_mildew | Cherry_healthy |
| Corn_gray_leaf_spot | Corn_common_rust | Corn_northern_leaf_blight | Corn_healthy |
| Grape_black_rot | Grape_black_measles | Grape_leaf_blight | Grape_healthy |
| Orange_haunglongbing | Peach_bacterial_spot | Peach_healthy | Pepper_bacterial_spot |
| Pepper_healthy | Potato_early_blight | Potato_healthy | Potato_late_blight |
| Raspberry_healthy | Soybean_healthy | Squash_powdery_mildew | Strawberry_healthy |
| Strawberry_leaf_scorch | Tomato_bacterial_spot | Tomato_early_blight | Tomato_healthy |
| Tomato_late_blight | Tomato_leaf_mold | Tomato_septoria_leaf_spot | Tomato_spider_mites_two-spotted_spider_mite |
| Tomato_target_spot | Tomato_mosaic_virus | Tomato_yellow_leaf_curl_virus | |

* Tool - dataset format conversion [Yolo format to coco format](https://github.com/Taeyoung96/Yolo-to-COCO-format-converter/blob/master/output/train.json)

### Experiment 1
* Base on yolox-tiny model
* Class number: 10
* Tomato___Bacterial_spot
* Tomato___Early_blight
* Tomato___healthy
* Tomato___Late_blight
* Tomato___Leaf_Mold
* Tomato___Septoria_leaf_spot
* Tomato___Spider_mites Two-spotted_spider_mite
* Tomato___Target_Spot
* Tomato___Tomato_mosaic_virus
* Tomato___Tomato_Yellow_Leaf_Curl_Virus

* Train data (90 %) (16810)

| Class | number |
| ----------------------- | ---- |
| Tomato___Bacterial_spot | 1914 |
| Tomato___Early_blight | 900 |
| Tomato___Late_blight | 1580 |
| Tomato___Leaf_Mold | 900 |
| Tomato___Septoria_leaf_spot | 1593 |
| Tomato___Spider_mites Two-spotted_spider_mite | 1508 |
| Tomato___Target_Spot | 1263 |
| Tomato___Tomato_Yellow_Leaf_Curl_Virus | 4821 |
| Tomato___Tomato_mosaic_virus | 900 |
| Tomato___healthy | 1431 |

* Validate data (10 %) (1871)

| Class | number |
| ----------------------- | ---- |
| Tomato___Bacterial_spot | 213 |
| Tomato___Early_blight | 100 |
| Tomato___Late_blight | 176 |
| Tomato___Leaf_Mold | 100 |
| Tomato___Septoria_leaf_spot | 178 |
| Tomato___Spider_mites Two-spotted_spider_mite | 168 |
| Tomato___Target_Spot | 141 |
| Tomato___Tomato_Yellow_Leaf_Curl_Virus | 536 |
| Tomato___Tomato_mosaic_virus | 100 |
| Tomato___healthy | 159 |

* Valid
* Average forward time: 38.59 ms, Average NMS time: 1.26 ms, Average inference time: 39.85 ms
* Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.992
* Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.998
* Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.998
* Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
* Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
* Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.993
* Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.996
* Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.996
* Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.996
* Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = -1.000
* Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
* Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = 0.996

* Result
* Tomato___Bacterial_spot
* Tomato___Early_blight
* Tomato___healthy

* Tomato___Late_blight

* Tomato___Leaf_Mold
* Tomato___Septoria_leaf_spot
* Tomato___Spider_mites Two-spotted_spider_mite
* Tomato___Target_Spot
* Tomato___Tomato_mosaic_virus

* Tomato___Tomato_Yellow_Leaf_Curl_Virus