Top 7 Computer Vision Models
The models below have been fine-tuned for various 7 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 7 detection model.
At the bottom of this page, we have guides on how to count 7s in images and videos.
by Rorizs Base
440 images 433 classes
1 1 - Fábrica/ zona industrial 1 - Monumento/ castelo 1 - Parque de campismo/ caravanismo 1 - Rio/ lago/ albufeira 1 - Vela 1.1 - Hospital 1.10 - Posto de combustível 1.11 - Telefone 1.2 - Hospital com urgência médica 1.3 - Posto de socorros 1.4 - Farmácia 1.5 - Bombeiros 1.6 - GNR 1.7 - PSP 1.8 - Oficina 1.9 - Posto de combustível com GPL (gás de petróleo liquefeito) 10 - Bar 10 - Campo de tiro 10 - Ponte
by susanti
2447 images 22 classes
object * 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 640x640 (Stretch) * annotate, and create datasets * collaborate with your team on computer vision projects * collect & organize images * export, train, and deploy computer vision models * understand and search unstructured image data * use active learning to improve your dataset over time 20 ============================== For state of the art Computer Vision training notebooks you can use with this dataset, Roboflow is an end-to-end computer vision platform that helps you Signals are annotated in YOLO v5 PyTorch format. The dataset includes 2587 images. The following augmentation was applied to create 3 versions of each source image: The following pre-processing was applied to each image: This dataset was exported via roboflow.com on November 25, 2023 at 12:38 AM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com