Top 7 Computer Vision Models
The models below have been fine-tuned for various 7 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 7 detection model.
At the bottom of this page, we have guides on how to count 7s in images and videos.
by James Mixon
5399 images 73 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Random rotation of between -5 and +5 degrees * Randomly crop between 0 and 30 percent of the image * Resize to 640x352 (Fit within) * Salt and pepper noise was applied to 0 percent of pixels * 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 10 100 1000 10th Spot 11 12 13
by Rohwer Lab
98 images 27 classes
by Aliya
54 images 16 classes
7 Up 320mL Ace Yakult Light 80 mL Ayam Brand Tuna Chunks in Water 150g Chartreu Strawberry Syrup 659mL Chipsmore Mini Double Choc 80g Mister Potato Crips Honey Cheese 125g Munchiy’s Muzic Bites Chocolate Hazelnut Wafer 180g Munchy’s 7 Days Croissant Vanilla 60g Nestle Honey Stars 25g Nestle Milo Cereal 80g Nestle Milo Chocolate Malt 400g Nona Sesame Oil 140mL Oreo Original 68.5g Pepsi 320mL Ribena Mobile Regular 330mL Yeo’s Grass Jelly 300mL
by lingga
226 images 8 classes