TRIBE AGROset - An agricola visual dataset for object detection

<p>This a computer vision dataset for object detection of fruits and trunks in agriculture. In its current stage, the dataset has 22 classes, such as:</p> <ul> <li>background</li> <li>arugula_minus9 (arugula in an early stage of development with less than 9 leaves)</li> <li>arugula_plus9 (arugula in an advanced stage of development with more than 9 leaves)</li> <li>carrot</li> <li>carrot_small_leaves</li> <li>coriander</li> <li>coriander_small_leaves</li> <li>coty (lettuce in the starting stage of development, with about two very small leaves)</li> <li>grape_bunch (bunches of full-size grapes)</li> <li>grape_bunch_small (bunches of pee-size grapes)</li> <li>lettuce_minus9 (lettuce&nbsp;in an early stage of development with less than 9 leaves)</li> <li>lettuce_plus9 (lettuce in an advanced stage of development with more than 9 leaves)</li> <li>lettuce_ready (lettuce ready for being harvested)</li> <li>radish_root</li> <li>radish_small_leaves</li> <li>radish_big_leaves</li> <li>spinach</li> <li>spinach_big</li> <li>swiss_chard</li> <li>tomato</li> <li>trunk (vine and forestry trunk)</li> <li>turnip</li> <li>turnip_small_leaves</li> </ul> <p>All the images were self-acquired in other datasets, under real-world conditions and using typical visual sensors for agricultural robots and IoT. This dataset is the result of the merging of some other datasets after fixing some annotations.</p> <p>Magalh&atilde;es, Sandro A. &lsquo;Dataset of Tomato inside Greenhouses for Object Detection in Pascal VOC&rsquo;. INESC TEC, 2021. https://doi.org/10.25747/pc1e-nk92.</p> <p>Aguiar, Andr&eacute; Silva, and Sandro Magalh&atilde;es. &lsquo;Grape Bunch and Vine Trunk Dataset for Deep Learning Object Detection&rsquo;. Zenodo, 2021. https://doi.org/10.5281/ZENODO.5139598.</p> <p>Rodrigues, Leandro, Francisco Terra, Sandro Magalh&atilde;es, Filipe Santos, Pedro Moura, and M&aacute;rio Cunha. &lsquo;PixelCropRobot Dataset: Images of Vegetables Crops in Different Phenological Stages Taken in Greenhouses&rsquo;. Zenodo, 2021. https://doi.org/10.5281/ZENODO.7433286.</p> <p>Moreira, Germano, Sandro Augusto Magalh&atilde;es, Tiago Padilha, Filipe Neves dos Santos, and M&aacute;rio Cunha. &lsquo;RpiTomato Dataset: Greenhouse Tomatoes with Different Ripeness Stages&rsquo;. Zenodo, 2021. https://doi.org/10.5281/ZENODO.5596363.</p> <p>Sarmento, Jos&eacute;, Filipe Neves Dos Santos, and Andr&eacute; Silva Aguiar. &lsquo;VinePoint&rsquo;. Zenodo, 2021. https://doi.org/10.5281/ZENODO.5038646.</p> <p>Magalh&atilde;es, Sandro Augusto, Germano Moreira, Filipe Neves dos Santos, and M&aacute;rio Cunha. &lsquo;AgRobTomato Dataset: Greenhouse Tomatoes with Different Ripeness Stages&rsquo;. Zenodo, 2021. https://doi.org/10.5281/ZENODO.5596799.</p> <p>Da Silva, Daniel Queir&oacute;s, and Filipe Neves Dos Santos. &lsquo;ForTrunkDet -- Forest Dataset of Visible and Thermal Annotated Images for Object Detection&rsquo;. Zenodo, 2021. https://doi.org/10.5281/ZENODO.5213825.</p> <p>Da Silva, Daniel Queir&oacute;s, and Filipe Neves Dos Santos. &lsquo;ForTrunkDetV2 -- Forest Dataset of Visible and Thermal Annotated Images for Object Detection (Augmented Version)&rsquo;. Zenodo, 2022. https://doi.org/10.5281/ZENODO.7186052.</p> <p>&nbsp;</p>