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Top Centella Computer Vision Models
The models below have been fine-tuned for various centella detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own centella detection model.
At the bottom of this page, we have guides on how to count centellas in images and videos.
2352 images 100 classes
Aloe-vera Althaea-Rosea-Hollyhock- Anglica-Gigas-korean-roots Anti aging part of Brassica- Flowers Anti-aging part of camellia-sinensis: LEAVES Aronia-Melanocarpa-Black-Chokeberry- Artemisia-Capillaris-Seepweed- Astragalus-Membranaceus-Astragalus- Azalea-Rhododendron-yedoense-f.-poukhanense-H.-Le-v.-M.-Sugim. Brassica Napus Camellia-Sinensis-Green-Tea- Camellia-japonica Carpinus-tschonoskii-Maxim. Castanea-Crenata-Japanese-Chestnut- Cinnamomum-Cassia-Cinnamon- Citrus-Unshiu-Jeju-Hallabong- Dioscorea-Opposita-Chinese-Yam- Diospyros-kaki-Thunb Equisetum-Arvense-Horsetail Eucommia-ulmoides-Oliv
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Aloe Vera Andrographis Paniculata (Sinta) Bitter Gourd Black Currant Tree Blumea balsamifera (Sambong) Capsicum fructescens (Sili) Cassia Alata (Akapulko) Centella asiatica (Takip Kuhol) Clinopodium douglasii Coleus Plant Curcuma longa (Turmeric) Ehretia microphylla or Carmona retusa (Tsaang gubat) Ganoderma Garlic Plant Jute Leave Lavender Lemon Balm Lemongrass Plant Marigold Mirabilis jalapa ( Four o_clock Flower)
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