Related Objects of Interest: barrier ahead, cattle, cycle crossing, hospital, parking lot cars, parking lot cycle, parking lot scooter and motorcycle, pedestrian crossing, pedestrian prohibited, public telephone
Top 25 Datasets and Models
The datasets below can be used to train fine-tuned models for 25 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 25 datasets below.
4148 images 74 classes
4148 images 74 classes
by SIT
3628 images 74 classes
2794 images 73 classes
by Innovation
300 images 46 classes
Barrier Ahead Cattle Cycle Crossing Parking Lot Cars Parking Lot Cycle Parking Lot Scooter and MotorCycle Pedestrian Crossing Pedestrian Prohibited Petrol Pump/ Gas Station Public Telephone Resting Place Right Hair Pin Bend Right Hand Curve Right Reverse Bend Road Wideness Ahead Round About School Ahead Slippery Road Speed Limit (10) Speed Limit (100)
by school
674 images 200 classes
99 Original # 1 99 Original # 10 99 Original # 11 99 Original # 12 99 Original # 13 99 Original # 14 99 Original # 15 99 Original # 16 99 Original # 17 99 Original # 18 99 Original # 19 99 Original # 2 99 Original # 20 99 Original # 21 99 Original # 22 99 Original # 23 99 Original # 24 99 Original # 25 99 Original # 26 99 Original # 27
2564 images 58 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 1000x1000 (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
600 images 48 classes
elephant fox monkey pig tiger * 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 19 20 21 22 23 24 25
7195 images 74 classes
by kaushik
8015 images 78 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * Random Gaussian blur of between 0 and 3.25 pixels * Randomly crop between 0 and 33 percent of the image * 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 100 120 21 22 23 24 25 26 27 28
by plural
3200 images 170 classes
* 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 100 101 102 103 104 105 106 107 108 109 110 111 112