cropandweeddetection - Submodules updated

Added submodules for the dataset and YOLOv7 model for easier cloning.

- Jupyter Notebook
Published by Daraan over 1 year ago

cropandweeddetection - Three models for inference

Models

e6 model (1280px):

Stored in Git LFS

• validation mAP (30 Epochs): 0.763
• test mAP (40 Epochs) - needs reevaluation at 30!:

md ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Test metric DataLoader 0 ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── test_loss 3.747124433517456 test_map 0.6489368081092834 test_map_50 0.7916330695152283 test_map_75 0.698529839515686 test_map_Bean 0.6892199516296387 test_map_Maize 0.7442483305931091 test_map_Pea 0.5929533243179321 test_map_Potato 0.6119544506072998 test_map_Pumpkin 0.8598697185516357 test_map_Soy 0.46878740191459656 test_map_Sugar beet 0.7401812076568604 test_map_Sunflower 0.7893890738487244 test_map_Weed 0.3438277244567871 test_map_small 0.6489368081092834 test_mar100_Bean 0.7127273082733154 test_mar100_Maize 0.7801679372787476 test_mar100_Pea 0.6573913097381592 test_mar100_Potato 0.6965516805648804 test_mar100_Pumpkin 0.8676470518112183 test_mar100_Soy 0.515816330909729 test_mar100_Sugar beet 0.7667056918144226 test_mar100_Sunflower 0.8092250823974609 test_mar100_Weed 0.3837168514728546 test_mar_1 0.22914600372314453 test_mar_10 0.6714540123939514 test_mar_100 0.6877721548080444 test_mar_small 0.6877721548080444 ────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

x model (640px):

Stored in Git LFS

Trained with gradient accumulation over two epochs of batch size 16:

• validation mAP (48 Epochs): 0.789
• test mAP (50 Epochs) - needs reevaluation at 48:

```md ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Test metric DataLoader 0 ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── testloss 4.777414798736572 testmap 0.674770176410675 testmap50 0.8385519981384277 testmap75 0.7259414196014404 testmapBean 0.7226269245147705 testmapMaize 0.7365819215774536 testmapPea 0.6495985984802246 testmapPotato 0.4847957193851471 testmapPumpkin 0.9078474640846252 testmapSoy 0.5573299527168274 testmapSugar beet 0.784260094165802 testmapSunflower 0.8126767873764038 testmapWeed 0.417214035987854 testmapsmall 0.674770176410675 testmar100Bean 0.7587879300117493 testmar100Maize 0.7741867303848267 testmar100Pea 0.7070175409317017 testmar100Potato 0.5999999642372131 testmar100Pumpkin 0.9205881953239441 testmar100Soy 0.6239796280860901 testmar100Sugar beet 0.819741427898407 testmar100Sunflower 0.8416973948478699 testmar100Weed 0.4872349798679352 testmar1 0.22704993188381195 testmar10 0.6831567287445068 testmar100 0.7259149551391602 testmarsmall 0.7259149551391602 ────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

```

tiny (640px):

• validation mAP (38 Epochs): 0.592
• test mAP (40 Epochs) - needs reevaluation at 38:

md ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── Test metric DataLoader 0 ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────── test_loss 11.871225357055664 test_map 0.48474761843681335 test_map_50 0.710361897945404 test_map_75 0.5239822268486023 test_map_Crop 0.6333568096160889 test_map_Weed 0.3361384868621826 test_map_small 0.48474761843681335 test_mar100_Crop 0.7037509679794312 test_mar100_Weed 0.42132312059402466 test_mar_1 0.13459208607673645 test_mar_10 0.48484864830970764 test_mar_100 0.5625370144844055 test_mar_small 0.5625370144844055 ────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────

- Jupyter Notebook
Published by Daraan almost 2 years ago