Related Objects of Interest: door, sink, bathtub, radiator, socket, switch, toilet seat, ==============================, window, earring
Top Raw Datasets and Models
The datasets below can be used to train fine-tuned models for raw 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 raw datasets below.
1531 images 23 classes
1567 images 20 classes
2807 images 20 classes
by Smarkt
1660 images 158 classes
Aarambh tea bags back Aarambh tea bags front Aarambh tea bags side1 Aarambh tea bags side2 Aarambh tea bags side3 Aashirwaad Aata BACK Aashirwaad Aata FRONT Amul unsalted back Amul unsalted front Amul unsalted side1 Amul unsalted side2 Amul unsalted side3 Amul unsalted side4 Bru Gold Side 1 Bru Gold Side 2 Bru Gold Side 3 Bru Gold Top Cipla Sanitizer Cipla Sanitizer BACK Cipla Sanitizer TOP
by HibaB
3084 images 18 classes
10 11 12 13 14 7 8 9 ============================== BCCD - v3 raw Card-Types are annotated in YOLO v5 PyTorch format. It includes 8992 images. No image augmentation techniques were applied. The following pre-processing was applied to each image: This dataset was exported via roboflow This dataset was exported via roboflow.ai on February 24, 2021 at 10:05 AM GMT This dataset was exported via roboflow.ai on October 16, 2020 at 3:14 PM GMT Uno Cards - v2 raw
1473 images 59 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * 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 nci
934 images 75 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * 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 11 12 13 14 15 16 17 18 19 2
by x
5902 images 51 classes
1017 images 5 classes