Related Objects of Interest: saturation, artifact, blur, bubbles, specularity, instrument, blood, * annotate, and create datasets, * collaborate with your team on computer vision projects, * collect & organize images
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Top Contrast Datasets and Models
The datasets below can be used to train fine-tuned models for contrast 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 contrast datasets below.
106 images 3398 classes
by fyp
2528 images 8 classes
by fyp
3525 images 10 classes
2531 images 15 classes
by bargain
40 images 52 classes
* Auto-contrast via contrast stretching * 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 obsessedfish
279 images 136 classes
* Auto-contrast via adaptive equalization * 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 100 101 102 103 104 105 106 107 108 109 110
by k66a4
2914 images 59 classes
* Auto-contrast via contrast stretching * 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 19 20 21 22 23 24 25 26 27 28 29 30
321 images 4 classes
by Deneme
3362 images 694 classes
* Auto-contrast via contrast stretching * 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 shear of between -14° to +14° horizontally and -15° to +15° vertically * Resize to 800x800 (Stretch) * Salt and pepper noise was applied to 1.13 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 100 101 102 103 104 105 106 107
by Deneme
3256 images 692 classes
* Auto-contrast via contrast stretching * 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 shear of between -14° to +14° horizontally and -15° to +15° vertically * Resize to 800x800 (Stretch) * Salt and pepper noise was applied to 1.13 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 100 101 102 103 104 105 106 107
by bhavna
306 images 7 classes
by bhavna
2147 images 7 classes
2913 images 13 classes
2531 images 8 classes
385 images 11 classes
by bhavna
2531 images 8 classes
by bhavna
2147 images 7 classes
2913 images 13 classes
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