Related Objects of Interest: * 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, ==============================, for state of the art computer vision training notebooks you can use with this dataset,, no image augmentation techniques were applied.
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Top 1179 Computer Vision Models
The models below have been fine-tuned for various 1179 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 1179 detection model.
At the bottom of this page, we have guides on how to count 1179s in images and videos.
45 images 2069 classes
mask person -0-0 -100-64878048780469 -1000-0022505626407 -1000-1762127875611 -1000-8264462809908 -1001-0032508127034 -1001-8777110212488 -1002-3880414131419 -1003-4712241544406 -1003-5545789548756 -1003-9399267094751 -1005-1809269702934 -1005-4692262573712 -1007-4300071058922 -1008-9999999999981 -1009-4100906134347 -1009-4150672768247 -1009-6934516720788
by Cultrix Mail
5199 images 31 classes
object * Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 1920x1080 (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 19 20 21 22 ============================== APEX are annotated in YOLO v7 PyTorch format. APEX-Character model - v6 2023-03-28 4:55pm APEX-actual shapeV2 - v1 2023-10-22 11:26am Apex_head - v2 2023-08-07 1:17am Aplen and Apex Merge - v2 2023-10-25 3:58pm For state of the art Computer Vision training notebooks you can use with this dataset,
529 images 4201 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 100 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 101 1010
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