plant-image-datasets
Collection
Image datasets about the kingdom Plantae.
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The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
A growing dataset about medicinal plants. We plan to construct a multimodal dataset with images and text content extracted from
- books that went out of copywrite and
- diverse and high-quality video data taken via smart phone and various lenses with a DSLR camera (24mm Macro, 50mm, 100mm Macro and a 24-120mm Zoom lens). Parts of the iNaturalist and PlantNet300K datasets will be integrated as well to cover a wide spectrum of the kingdom Plantae.
The resulting dataset should be able to power a free visual search / retrieval application for smart phones that integrates vast amounts of detailed knowledge about medicinal plants and their lifecycle.
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