Related Objects of Interest: stop, no entry, no left turn, no parking, no right turn, no stopping, parking, pedestrian crossing, slippery road, steep descent
Top 2 Computer Vision Models
The models below have been fine-tuned for various 2 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 2 detection model.
At the bottom of this page, we have guides on how to count 2s in images and videos.
1800 images 35 classes
3-Way Plug Valve 3-Way Valve 3-Way Valve 2 4 way Valve 4-way Plug Valve Angle Valve Angle Valve Hand Operated Back Pressure Regulator Ball Valve NO Butterfly Valve Check Valve Closed gate valve Control Valve Diaphragm Valve Flange Valve 2 Float Operated Valve Gate Valve Globe Valve Hydraulic Valve Motor Operator Valve
670 images 29 classes
Sütaş %2 Sütaş %2.5 Yağlı Süt 1L Sütaş Laktozsuz Süt 1L Sütaş Laktozsuz Süt 200ml Sütaş Light Süt 1L Sütaş Light Süt 200ml Sütaş Salep 1L Sütaş Süt %2 Sütaş Süt %2.5 Yağlı 6x180ml Sütaş Süt Muzlu 180ml Sütaş Süt Muzlu 6x180ml Sütaş Süt Çikolatalı 180ml Sütaş Süt Çikolatalı 1L Sütaş Süt Çikolatalı 6x180ml Sütaş Süt Çilekli 180ml Sütaş Süt Çilekli 6x180ml Sütaş Tam Yağlı Süt 1L Sütaş Tam YağlıSüt 200ml Sütaş Yarım Yağlı Süt 1L Sütaş Yarım Yağlı Süt 200ml
184 images 40 classes
by New
7982 images 7 classes
by Hello World
7988 images 6 classes
by ocrdetection
325 images 132 classes
dot * 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 - 0 1 19 2 20 21 22 23 24 25
5606 images 36 classes
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