Related Objects of Interest: * 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, ==============================, person, * auto-orientation of pixel data (with exif-orientation stripping), for state of the art computer vision training notebooks you can use with this dataset,
Top 29 Computer Vision Models
The models below have been fine-tuned for various 29 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 29 detection model.
At the bottom of this page, we have guides on how to count 29s in images and videos.
by yoloall
9987 images 127 classes
'Eating-Place' 'Falling-Rocks' 'Ferry' 'First-Aid-Post' 'Give-Way' 'Horn-Prohibited' 'Hospital' 'Hump' 'Left-Hair-Pin-Bend' 'Left-Reverse-Bend' 'Left-hand-curve' 'Light-Refreshment' 'Men-at-Work' 'Narrow-Bridge' 'Narrow-road-ahead' 'No-Parking' 'No-Stopping' 'No-Thorough-Road' 'No-Thorough-SideRoad' 'Parking-Lot-Cars'
8031 images 26 classes
17: cift_yonlu_yol 29: ileri_yol Azami Hız Sınırlaması 20 Azami Hız Sınırlaması 20 Sonu Azami Hız Sınırlaması 30 Dur Durak Duraklamak Ve Park Etmek Yasaktır Engelli Park Girişi Olmayan Yol Kırmızı Işık Park Etmek Yasaktır Park Yeri Sağa Dönülmez Sağa Mecburi Yön Sağdan Gidiniz Sola Dönülmez Sola Mecburi Yön Soldan Gidiniz Taşıt Trafiğine Kapalı Yol
by Raj Das
6040 images 36 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 18 19 20 21 22 23 24 25 26 27 28 29 30
by kaushik
8015 images 78 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Random Gaussian blur of between 0 and 3.25 pixels * Randomly crop between 0 and 33 percent of the image * 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 100 120 21 22 23 24 25 26 27 28