Related Objects of Interest: ==============================, this dataset was exported via roboflow, fruits detection - v1 2024-01-10 4:17pm, this dataset was exported via roboflow.com on january 10, 2024 at 9:40 am gmt, fruit detecting - v1 2024-01-15 12:46am, this dataset was exported via roboflow.com on january 14, 2024 at 8:21 pm gmt, * auto-orientation of pixel data (with exif-orientation stripping), the following pre-processing was applied to each image:, * annotate, and create datasets, * collaborate with your team on computer vision projects
Top This Computer Vision Models
The models below have been fine-tuned for various this detection tasks. You can try out each model in your browser, or test an edge deployment solution (i.e. to an NVIDIA Jetson). You can use the datasets associated with the models below as a starting point for building your own this detection model.
At the bottom of this page, we have guides on how to count these in images and videos.
by York
246 images 27 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * 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 Gaussian blur of between 0 and 0.5 pixels * Random brigthness adjustment of between -16 and +16 percent * Random exposure adjustment of between -6 and +6 percent * Resize to 600x600 (Fit (white edges)) 15 16 17 18 19 20 21 ============================== Chocolates are annotated in YOLO v5 PyTorch format. Dark Marzipan It includes 267 images. Milk California Brittle
by test
200 images 22 classes
* 50% probability of horizontal flip * 50% probability of vertical flip * 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 * Resize to 600x600 (Fit (white edges)) * 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 ============================== Chocolates are annotated in YOLOv8 format. For state of the art Computer Vision training notebooks you can use with this dataset, Roboflow is an end-to-end computer vision platform that helps you The dataset includes 267 images. The following augmentation was applied to create 5 versions of each source image: The following pre-processing was applied to each image: This dataset was exported via roboflow.com on June 4, 2023 at 12:27 PM GMT To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
by yoloall
9987 images 127 classes
'Eating-Place' 'Falling-Rocks' 'Ferry' 'First-Aid-Post' 'Give-Way' 'Horn-Prohibited' 'Hospital' 'Hump' 'Left-Hair-Pin-Bend' 'Left-Reverse-Bend' 'Left-hand-curve' 'Light-Refreshment' 'Men-at-Work' 'Narrow-Bridge' 'Narrow-road-ahead' 'No-Parking' 'No-Stopping' 'No-Thorough-Road' 'No-Thorough-SideRoad' 'Parking-Lot-Cars'
7195 images 74 classes
4148 images 74 classes
by LaouRah
379 images 13 classes
by Nimish
2397 images 8 classes
object ============================== ============================== This dataset was exported via roboflow ============================== This dataset was exported via roboflow.com on February 25, 2024 at 6:30 AM GMT ============================== cinTA_v2 - v1 bismillah ya Rabbalamin This dataset was exported via roboflow This dataset was exported via roboflow.com on February 25, 2024 at 6:30 AM GMT cinTA_v2 - v1 bismillah ya Rabbalamin
by Promasidor
568 images 14 classes
Cerelac-Maize-Green Cerelac-Rice-Sea Blue Cerelac-Wheat-Yellow Cowbell -Blue-Blue Cowbell -Coffee-Brown Miksi -Chocolate-Purple Miksi Chocolate Nescafe-3 in 1-Red Nido -Essentia-Yellow This Way-Chocolate-Red Yumvita -Maize and wheat-Green Yumvita -Rice-Blue Yumvita -Rice-Sea Blue Yumvita -Wheat-Yellow
by PAVIC
2437 images 16 classes
============================== ============================== Face Detection Magang 3 - v11 gen_5.0 ============================== Face Detection Magang 3 - v11 gen_5.0 Roboflow is an end-to-end computer vision platform that helps you ============================== Face Detection Magang 3 - v11 gen_5.0 Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow.com on November 18, 2023 at 6:25 PM GMT ============================== Face Detection Magang 3 - v11 gen_5.0 This dataset was exported via roboflow.com on November 18, 2023 at 6:25 PM GMT ============================== Roboflow is an end-to-end computer vision platform that helps you ============================== Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow.com on November 18, 2023 at 6:25 PM GMT ============================== This dataset was exported via roboflow.com on November 18, 2023 at 6:25 PM GMT Face Detection Magang 3 - v11 gen_5.0 Face Detection Magang 3 - v11 gen_5.0 Roboflow is an end-to-end computer vision platform that helps you Face Detection Magang 3 - v11 gen_5.0 Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow.com on November 18, 2023 at 6:25 PM GMT Face Detection Magang 3 - v11 gen_5.0 This dataset was exported via roboflow.com on November 18, 2023 at 6:25 PM GMT Roboflow is an end-to-end computer vision platform that helps you Roboflow is an end-to-end computer vision platform that helps you This dataset was exported via roboflow.com on November 18, 2023 at 6:25 PM GMT This dataset was exported via roboflow.com on November 18, 2023 at 6:25 PM GMT images
by ocrdetection
325 images 132 classes
dot * 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 - 0 1 19 2 20 21 22 23 24 25
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