Related Objects of Interest: ==============================, * auto-orientation of pixel data (with exif-orientation stripping), roboflow is an end-to-end computer vision platform that helps you, the following pre-processing was applied to each image:, * annotate, and create datasets, * collaborate with your team on computer vision projects, * collect & organize images, * export, train, and deploy computer vision models, * resize to 416x416 (stretch), * understand and search unstructured image data
Top 30 Datasets and Models
The datasets below can be used to train fine-tuned models for 30 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 30 datasets below.
959 images 53 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 416x416 (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
by ut
1507 images 26 classes
Aquafina 500ml Bisconni Chocolatto Biscuit Chillz Chips Rs.10 Chip Choc Double Gluco Biscuit Kurkure Chatni Chaska 20 Kurkure Red Chilli Rs.20 Lays French Cheese 14 g Lays French Cheese 60 Lays Masala 14 Lays Masala Rs.60 Lays Paprika Rs.30 Lays Salt 14 Lays Wavy BBQ Rs.30 Lays Yogurt and Herb Rs.60 Milo 180 ml Mountain Dew Drink 500ml Nestle Pure Life 5L Olpers Badam Zafran Pakola Strawberry 200ml
by ingredients
9335 images 38 classes
* 50% probability of horizontal flip * Auto-orientation of pixel data (with EXIF-orientation stripping) * Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise * Random rotation of between -15 and +15 degrees * Randomly crop between 0 and 20 percent of the image * Resize to 416x416 (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 23 24 25 26 27 28 29 30
880 images 11 classes
* Auto-orientation of pixel data (with EXIF-orientation stripping) * Resize to 416x416 (Stretch) 10 9 ============================== Ingredientsdataset are annotated in YOLO v5 PyTorch format. It includes 905 images. No image augmentation techniques were applied. The following pre-processing was applied to each image: This dataset was exported via roboflow.ai on May 30, 2021 at 10:39 AM GMT ingredients_dataset - v4 ingredients_data_meet_add
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
1235 images 13 classes