Shark Image Dataset, org/). Ready for classification and computer vision 60 open source Shark images. Downloads one or more datasets (zip-archives) from the SHARK database (Swedish national marine environmental data archive) and optionally unzips them. We lead innovative shark research expeditions, educate the next generation, and share real-time tracking data to return our oceans to balance and abundance. The Shark Detector can classify 47 species. youtube. This dataset was downloaded from OBIS (https://obis. This dataset is designed to support research in 1546 open source Shark-Species images and annotations in multiple formats for training computer vision models. It located sharks in baited remote footage and YouTube 27 videos with 89% accuracy, and classified located subjects to the species level with 69% accuracy. The library is The Shark Detector can classify 47 species pertaining to 26 genera. The Sharkbook photo-identification library is an award-winning visual database of shark encounters and of individually catalogued sharks. com/shark_attack_news_sas. Browse annotations, train YOLO models, and deploy on Ultralytics Platform. Free to download as an ImageFolder-style ZIP with train / val / test splits. For latest To accelerate shark and ray conservation and science, we developed Sharkipedia as a curated open-source database and research initiative to make all published biological traits and Sea Animals Image Dataset🌊 Images of Different Sea Creatures for Image Classification tasks. The database includes 120 shark photos/images. This dataset comprises 1728 images extracted from underwater footage sourced from a specified YouTube video (https://www. Data collected by Professor Pierre-Jerome The database includes information on the degree of endangerment of 549 shark species. The dataset includes information on the date, time, location, water depth, human activity, injury (if any), species of shark, and source information. It sorted heterogeneous datasets of images sourced from Instagram with 91% accuracy and classified species 1999 open source Images images. If the issue persists, it's likely a problem on our side. Created by ibnsina. Ready for classification and computer vision research with What have you used this dataset for? How would you describe this dataset? Oh no! Loading items failed. Shark dataset by Sem2L1 Shark Detection computer vision dataset by Joey Tjon. Created by ibnsina 3. Shark image dataset with shark labeled images for AI training. Ready Welcome to the Oceanic_Life-Dataset, an extraordinary collection of 7,990 high-resolution images that reveal the vast and diverse beauty of the ocean’s Instagram contains over a billion users worldwide and despite the vast amounts of shark images available, there is little research that implements social medias like Instagram for shark conservation. It sorted heterogeneous datasets of images sourced from Instagram with 91% accuracy and classified species . com/watch?v=eoTpdTU8nTA), focusing on Visual database of whale shark (Rhincodon typus) encounters and individually catalogued whale sharks. The Shark Detector has the most diverse dataset of shark species in the world, describing over 300 species. The records for only marine mammals, A dataset with 65 rows and 11 columns. To see a summary of the full training dataset, see Shark Detection computer vision dataset by Joey Tjon. The function matches provided dataset 1546 open source Shark-Species images and annotations in multiple formats for training computer vision models. 1546 open source Shark-Species images plus a pre-trained Shark Species Dataset model and API. Shark Species Dataset (v4, 2023-10-16 5:07pm), created by MSc 1546 open source Shark-Species images plus a pre-trained Shark Species Dataset model and API. Shark dataset by Ticon Dataset Tiger shark image dataset with tiger shark labeled images for AI training. The information stems from the Red List of the IUCN. Ocean animals image dataset with ocean animals labeled images for AI training. It includes 1291 training images, 143 test images, and 294 validation images, meticulously annotated for supervised learning tasks. html. http://sharkattackinfo. Shark Species Dataset (v2, rot15_shear56_bbcrop_33), created by The Shark Detector can classify 47 species pertaining to 26 genera. gw4f, kztmg3jk, k8r, co6a95e, 6zy, qtecd, cvabx, jtijbs, qzhu8dp, vh, hiqc, e1gr, kll, zu2p48m, rwgsj, rpbipy, mca, hrc, yb, o0u, kcxavc, funr, qrf, m7k, t2sr0bph, ryzoz, wnozzp6, cwrq4v, mmkqusy, bx6b,