Top Grain Computer Vision Models
The models below have been fine-tuned for various grain 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 grain detection model.
At the bottom of this page, we have guides on how to count grains in images and videos.
by Rice
240 images 10 classes
by pfa
400 images 236 classes
15 oeufs El MAZERAA 30 oeufs Chahia ACTIVIA DELICE ADORO CHOCOCHOCO MOULIN D'OR APLA 24CL BININO JUS 25CL BISCUITS TWINZ FRAISE TOM BLENDY DELICE BOISSON A BOIRE DUNUP DELICE BOISSON GAZEUSE 1 BOISSON GAZEUSE 1.5L VIVA CIDRE BOISSON GAZEUSE 1.5L VIVA POMME BOISSON GAZEUSE 1L BOGA CIDRE BOISSON GAZEUSE 1L BOGA LIM BOISSON GAZEUSE 1L COCA COLA ZERO BOISSON GAZEUSE 1L FANTA BOISSON GAZEUSE VIVA PECHE BREAK SAIDA BROWNIZ MOULIN D'OR Balai
by Catan
172 images 35 classes
by pests data
9595 images 102 classes
Adristyrannus Aleurocanthus-spiniferus Ampelophaga Aphis-citricola-Vander-Goot Apolygus lucorum Bactrocera-tsuneonis Beet spot flies Brevipoalpus lewisi McGregor Ceroplastes-rubens Chlumetia-transversa Chrysomphalus-aonidum Cicadella viridis Cicadellidae Colomerus vitis Dacus-dorsalis(Hendel) Dasineura-sp Deporaus-marginatus-Pascoe Erythroneura-apicalis Icerya-purchasi-Maskell Lawana-imitata-Melichar
2650 images 9 classes
by Nethmini
394 images 11 classes
by NCKU
1412 images 122 classes
by testdata
3798 images 96 classes
Adristyrannus Aleurocanthus-spiniferus Ampelophaga Aphis-citricola-VanderGoot Apolygus-lucorum Bactrocera-tsuneonis Beet-spot-flies Ceroplastes-rubens Chlumetia-transversa Chrysomphalus-aonidum Cicadella-viridis Cicadellidae Dacus-dorsalis-Hendel Dasineura-sp Deporaus-marginatus-Pascoe Erythroneura-apicalis Icerya-purchasi-Maskell Lawana-imitata-Melichar Limacodidae Locustoidea