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 1026 Datasets and Models
The datasets below can be used to train fine-tuned models for 1026 detection. You can explore each dataset in your browser using Roboflow and export the dataset into one of many formats.
At the bottom of this page, we have guides on how to train a model using the 1026 datasets below.
173 images 33 classes
Cattle-1020 Cattle-1020_dead Cattle-1020_live Cattle-1021 Cattle-1021_dead Cattle-1021_live Cattle-1022 Cattle-1022_dead Cattle-1022_live Cattle-1023 Cattle-1023_dead Cattle-1023_live Cattle-1024 Cattle-1024_dead Cattle-1024_live Cattle-1025 Cattle-1025_dead Cattle-1025_live Cattle-1026 Cattle-1026_dead
by Traffic
1958 images 1876 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 416x416 (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 100 1000 1001 1002 1003 1004 1005 1006 1007 1008 1009 101
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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