Object Detection, Yolov8, Machine Learning, Deep Learning, Computer Vision.
'valid', 'test']: class_count = {classes[i]:0 for i in range(num_classes)} path = os.path.join(dataDir, mode, 'labels') for file in os.listdir(path): with open(os.path.join(path, file)) as f: lines = f.readlines() for cls in set([line[0] for line in lines]): class_count[class_idx[cls]] += 1