Instructions to use weecology/cropmodel-neon-resnet18-genus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- DeepForest
How to use weecology/cropmodel-neon-resnet18-genus with DeepForest:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
| ,precision,recall,f1-score,support | |
| Abies (0),0.9083,0.7952,0.848,249.0 | |
| Acer (1),0.8332,0.9127,0.8711,996.0 | |
| Ailanthus (2),0.0,0.0,0.0,1.0 | |
| Alnus (3),1.0,0.8889,0.9412,9.0 | |
| Amelanchier (4),0.9375,0.9146,0.9259,82.0 | |
| Arctostaphylos (5),0.3333,1.0,0.5,1.0 | |
| Betula (6),0.9163,0.8519,0.8829,270.0 | |
| Bourreria (7),1.0,0.8333,0.9091,6.0 | |
| Bucida (8),1.0,0.8,0.8889,5.0 | |
| Bursera (9),1.0,1.0,1.0,2.0 | |
| Calocedrus (10),0.6129,0.6786,0.6441,28.0 | |
| Carpinus (11),0.9024,0.8706,0.8862,85.0 | |
| Carya (12),0.8699,0.8411,0.8552,151.0 | |
| Castanea (13),1.0,1.0,1.0,1.0 | |
| Celtis (14),0.8933,0.8535,0.873,157.0 | |
| Cercis (15),0.5625,0.8182,0.6667,11.0 | |
| Cornus (16),0.7333,0.6471,0.6875,17.0 | |
| Diospyros (17),1.0,0.7143,0.8333,7.0 | |
| Fagus (18),0.8421,0.7442,0.7901,129.0 | |
| Fraxinus (19),0.8651,0.7569,0.8074,144.0 | |
| Gleditsia (20),1.0,0.1667,0.2857,6.0 | |
| Gordonia (21),1.0,1.0,1.0,1.0 | |
| Gymnocladus (22),1.0,1.0,1.0,1.0 | |
| Halesia (23),1.0,0.8889,0.9412,18.0 | |
| Ilex (24),1.0,1.0,1.0,5.0 | |
| Juglans (25),0.5556,0.625,0.5882,16.0 | |
| Juniperus (26),0.85,0.7391,0.7907,46.0 | |
| Larix (27),0.4,0.8,0.5333,5.0 | |
| Liquidambar (28),0.7548,0.8239,0.7879,142.0 | |
| Liriodendron (29),0.8935,0.8728,0.883,173.0 | |
| Maclura (30),0.8,0.4444,0.5714,9.0 | |
| Magnolia (31),0.8462,0.7586,0.8,29.0 | |
| Melia (32),1.0,1.0,1.0,3.0 | |
| Metrosideros (33),1.0,0.75,0.8571,8.0 | |
| Morus (34),0.9032,1.0,0.9492,28.0 | |
| Nyssa (35),0.9895,0.9216,0.9543,102.0 | |
| Ostrya (36),1.0,0.5,0.6667,4.0 | |
| Oxydendrum (37),0.9348,0.86,0.8958,50.0 | |
| Picea (38),0.9111,0.8667,0.8883,390.0 | |
| Pinaceae (39),0.0,0.0,0.0,4.0 | |
| Pinus (40),0.9033,0.9353,0.919,989.0 | |
| Pisonia (41),1.0,0.6667,0.8,3.0 | |
| Platanus (42),0.9,0.9,0.9,20.0 | |
| Populus (43),0.8941,0.9174,0.9056,230.0 | |
| Prunus (44),0.9375,0.8824,0.9091,34.0 | |
| Pseudotsuga (45),0.8731,0.9135,0.8928,497.0 | |
| Quercus (46),0.8977,0.8841,0.8909,1122.0 | |
| Robinia (47),1.0,0.7059,0.8276,17.0 | |
| Rosa (48),1.0,1.0,1.0,2.0 | |
| Salix (49),1.0,1.0,1.0,1.0 | |
| Sassafras (50),1.0,0.3846,0.5556,13.0 | |
| Sideroxylon (51),0.6667,1.0,0.8,2.0 | |
| Symphoricarpos (52),1.0,1.0,1.0,6.0 | |
| Taxus (53),1.0,1.0,1.0,13.0 | |
| Thuja (54),0.9412,0.8421,0.8889,19.0 | |
| Tilia (55),1.0,1.0,1.0,6.0 | |
| Triadica (56),1.0,0.8571,0.9231,7.0 | |
| Tsuga (57),0.8781,0.893,0.8855,710.0 | |
| Ulmus (58),0.7551,0.7957,0.7749,93.0 | |
| Unknown (59),0.8333,0.6818,0.75,22.0 | |
| accuracy,0.8783,0.8783,0.8783,0.8783 | |
| macro avg,0.8588,0.8033,0.8138,7197.0 | |
| weighted avg,0.8802,0.8783,0.8775,7197.0 | |