• Hardware (T4/V100/Xavier/Nano/etc) - Tesla T4
• Network Type (Detectnet_v2/Faster_rcnn/Yolo_v4/LPRnet/Mask_rcnn/Classification/etc) - Detectnet_v2
• TLT Version - 3.0
I am preparing a dataset for annotation in the process of retraining the trafficcamnet pretrained model for the class : car as the current model available in NGC doesn’t provide accuracy in night-time video streams for detecting vehicles.
I am preparing the dataset by annotating the RGB images. For the facenet training the dataset where 736*416 grayscale images.
Is there any particular image mode ( RGB; Grayscale; IR) that I should convert my whole dataset into and use to get higher accuracy on detections in night-time and low light areas.
Can you please help.