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The recent changes in policies in several countries regarding cannabis use has increased cannabis usage and research [1,2]. Cannabis is the second most used psychoactive substance word-wide [3]. Cannabis remains the subject of many research works. The cannabis can be classified into different classes according to their external features like colour, shape, and size using some computer vision and machine learning techniques. Precise classification or recognition is the unmet need of the agriculture business. This attracts many researchers to produce solutions with machine learning and deep learning techniques. Neat and clean dataset is the primary requirements to build accurate and robust machine learning model and minimize misclassification for the real-time environment. To achieve this objective, we have created an image dataset of cannabis seed. Accordingly, we have considered seventeen cannabis seeds to create dataset. The dataset contains 17 subfolders of cannabis seeds and folder is named with the category of seed. We strongly believe the cannabis seeds dataset will be very helpful for training, testing, and validation of cannabis classification or recognition with machine learning models.

Com o objetivo de avaliar a influência de massa de sementes e profundidades de semeadura sobre o vigor e o desenvolvimento vegetativo de mudas de tamarindeiro (Tamarindus indica L.), conduziu-se um experimento em viveiro telado, de malha 0,38 mm², no Setor de Fruticultura da Fazenda Experimental Água Limpa, município de Uberlândia (MG), no período de 26 de dezembro de 2006 a 04 de junho de 2007. O delineamento experimental foi o inteiramente casualizado, com os tratamentos distribuídos em esquema fatorial 2 x 3, com 5 repetições e 5 mudas por parcela, sendo os fatores: duas massas de sementes, leves e pesadas (65,60 g/100 sementes; 94,54 g/100 sementes), respectivamente, e três profundidades de semeadura (1; 2 e 3 cm). Avaliaram-se o número de folhas, diâmetro do caule, altura da muda, comprimento da raiz principal, massas secas da parte aérea e de raízes. Os resultados demonstraram que sementes de maior massa proporcionam melhor desenvolvimento inicial das mudas. E quanto à profundidade de semeadura, não houve diferença significativa entre todas as características avaliadas.The effect of seeds weight and different sowing depths on tamarind (Tamarindus indica L.) seedling vigor and vegetative growth was evaluated in a trial done in a screened nursery, with 0.38 mm² opening, at the experimental farm Água Limpa, in a nursery with anti-aphid screens, in the county of Uberlândia. The farm is located at 18º55'33''S and 48º17'19''W, at 872 m altitude, Minas Gerais, from December 26 2006 to June 4 2007. The experimental design was randomized blocks, in a 2 x 3 factorial, with 5 repetitions and 5 plants per plot. The factors were two seeds weight, slight and weighty (65.60 g and 94.54 g respectively), defined according to the weight of 100 seeds and three sowing depths (1cm; 2cm or 3cm). The number of leaves, stem diameter, plant height, root length, fresh and dry weight of roots and above ground matter were evaluated. The results indicated that the weighty seeds yield the best seedlings initial development. There were no significant differences in the parameters evaluated as a function of sowing depth.