Related Objects of Interest: * annotate, and create datasets, * auto-contrast via contrast stretching, * auto-orientation of pixel data (with exif-orientation stripping), * collaborate with your team on computer vision projects, * collect & organize images, * equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down, * export, train, and deploy computer vision models, * 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
Top 298 Datasets and Models
The datasets below can be used to train fine-tuned models for 298 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 298 datasets below.
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
40 images 4339 classes
"capacitor jumper" CJ1 "capacitor jumper" CJ2 "component text" " CC BE 10000000" "component text" "-309 LL6" "component text" "0 1 2 3 4 5 6 7" "component text" "0 N" "component text" "0001 5293 170A" "component text" "0123456789ABCDEF" "component text" "021 LDBM N389" "component text" "0821-1X1T-43-F 1402 WM" "component text" "0833 LTC2274 UJ BT267910" "component text" "085811 B4T EHCR" "component text" "1 2 3 4 5 6 7 8" "component text" "1 2 3 4" "component text" "1 2 3" "component text" "1 2" "component text" "100 6V" "component text" "100 CFK 7BD" "component text" "100 CFK- 7BD" "component text" "100 VFK- 87"
by dartecne
112 images 88 classes
103-74002978941007 104-40265831779924 104-93426496105837 110-14560857379375 116-16716140017084 121-99696794523425 128-91061139044356 13-04654476818908 145-76466696298434 145-86762551249245 160-23557103729541 171-19865856746844 172-8230252590967 175-50403457768726 179-76299547944782 180-33020527316833 183-16340375405775 186-97063065424447 190-72414542320126 191-58404057258554