Combat Sports Dataset

names: ['boxing-bag', 'cross', 'high-guard', 'hook', 'kick', 'low-guard', 'person'] train: ../train/images val: ../valid/images test: ../test/images # CombatSports - Download in different formats here...https://universe.roboflow.com/combatsports/combatsports-merge-attempt/dataset/2 Provided by a Roboflow - Created By Evan QuinnLicense: Public Domain CombatSports - Merge Attempt - v2 2025-01-08 10:52pm============================== This dataset was exported via roboflow.com on January 8, 2025 at 10:54 PM GMT Roboflow is an end-to-end computer vision platform that helps you* collaborate with your team on computer vision projects* collect & organize images* understand and search unstructured image data* annotate, and create datasets* export, train, and deploy computer vision models* use active learning to improve your dataset over time For state of the art Computer Vision training notebooks you can use with this dataset,visit https://github.com/roboflow/notebooks To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com The dataset includes 7757 images.Combat-sports-O4g1 are annotated in YOLO v5 PyTorch format. The following pre-processing was applied to each image:* Auto-orientation of pixel data (with EXIF-orientation stripping)* Resize to 640x640 (Stretch)* Auto-contrast via contrast stretching The following augmentation was applied to create 3 versions of each source image:* Randomly crop between 0 and 15 percent of the image* Random rotation of between -3 and +3 degrees* Random shear of between -6° to +6° horizontally and -3° to +3° vertically* Random brigthness adjustment of between -3 and +3 percent* Random exposure adjustment of between -9 and +9 percent* Random Gaussian blur of between 0 and 2 pixels* Salt and pepper noise was applied to 0.15 percent of pixels