1 - 30 of 100k+
Top Upside Datasets and Models
The datasets below can be used to train fine-tuned models for upside 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 upside datasets below.
by Marco
9560 images 52 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down * Random Gaussian blur of between 0 and 1.75 pixels * Random brigthness adjustment of between -25 and +25 percent * Random exposure adjustment of between -15 and +15 percent * Random rotation of between -10 and +10 degrees * Random shear of between -2° to +2° horizontally and -2° to +2° vertically * Randomly crop between 0 and 15 percent of the image * Resize to 640x640 (Stretch) * Salt and pepper noise was applied to 2 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 29 30
43 images 39 classes
Bearish Counterattack Line Bearish Engulfing Bearish Harami Bearish Marubozu Bearish Spinning Top Bullish Counterattack Lines Bullish Engulfing Bullish Harami Bullish Marubozu Bullish Spinning Top Dark Cloud Cover Downside Tasuki Gap Dragonfly Doji Evening Star Falling Three Methods Falling Window Four Price Doji Gravestone Doji Hammer Hanging Man
1 - 30 of 100k+