Related Objects of Interest: ==============================, no image augmentation techniques were applied., object, * annotate, and create datasets, * auto-orientation of pixel data (with exif-orientation stripping), * 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
Top 21 Computer Vision Models
The models below have been fine-tuned for various 21 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 21 detection model.
At the bottom of this page, we have guides on how to count 21s in images and videos.
by newProduct
423 images 31 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * 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 0 1 18 19 20 21 22 23 24 25 ============================== Bottles are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset,
by myname
452 images 29 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * 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 0 1 18 19 20 21 22 23 24 25 ============================== Bottles are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset,