Image Classification
timm
LiteRT
Safetensors
coffee
plant-disease
agriculture
efficientnet
supervised-fine-tuning
Instructions to use ConnorLee08/coffee-leaf-efficientnet-b2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use ConnorLee08/coffee-leaf-efficientnet-b2 with timm:
import timm model = timm.create_model("hf-hub:ConnorLee08/coffee-leaf-efficientnet-b2", pretrained=True) - Notebooks
- Google Colab
- Kaggle
File size: 1,180 Bytes
31a46d7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 | {
"architecture": "efficientnet_b2",
"num_classes": 8,
"num_features": 1408,
"pretrained_cfg": {
"tag": "ra_in1k",
"custom_load": false,
"input_size": [
3,
224,
224
],
"test_input_size": [
3,
224,
224
],
"fixed_input_size": false,
"interpolation": "bicubic",
"crop_pct": 0.875,
"crop_mode": "center",
"mean": [
0.485,
0.456,
0.406
],
"std": [
0.229,
0.224,
0.225
],
"num_classes": 8,
"pool_size": [
8,
8
],
"first_conv": "conv_stem",
"classifier": "classifier",
"label_names": [
"cercospora",
"healthy",
"miner",
"phoma",
"rust",
"red_spider_mite",
"weevil_damage",
"unsupported"
]
},
"label_names": [
"cercospora",
"healthy",
"miner",
"phoma",
"rust",
"red_spider_mite",
"weevil_damage",
"unsupported"
],
"checkpoint_sha256": "eb6a5d4daac75046befce1250bc9278d4c1d2ccfa8ccf0fe2f4302cb918e8dd8",
"installed_in_original_app": true,
"featured": true
}
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