#Detr

5 posts

Feed·

Images only5 of 5 posts

Best way to accurately annotate 500 images for fine-tuning Meta DETR?[P]

#machinelearning #redditmachinelearning #education #fine #model

Hey everyone! I'm working on an object-detection project and fine-tuning Meta's DETR model on a custom dataset of around 500 images. The main challenge I'm facing right now is annotation.…

15s

TensorRT INT8 vs FP16 on RF-DETR, Measured on an RTX 5090

📰

0Read More

TensorRT INT8 vs FP16 on RF-DETR, Measured on an RTX 5090

DEV Community: computervision·Khadim Hussain·3 days ago

#5J1VVi2u

#devtocomputervision #technology #devto #dev #int8

A calibrated TensorRT INT8 build of RF-DETR put 0 layers in INT8 on an RTX 5090. Measured INT8, FP16, CPU quantization and distillation side by side.

15s

📰

0Read More

TensorRT INT8 vs FP16 on RF-DETR, Measured on an RTX 5090

DEV Community: deeplearning·Khadim Hussain·3 days ago

#SZMcjivO

#devtodeeplearning #education #devto #dev #int8

A calibrated TensorRT INT8 build of RF-DETR put 0 layers in INT8 on an RTX 5090. Measured INT8, FP16, CPU quantization and distillation side by side.

15s

YOLO26: YOLO Model for Real-Time Vision AI [2026]

🖼️

103Read More

YOLO26: YOLO Model for Real-Time Vision AI [2026]

Hacker News·4 months ago

#rE7cvce3

#yolo26 #detection #object #model #detr

YOLO26 brings faster CPU inference, small-object accuracy, and edge optimization to the YOLO family. See how it stacks up against today’s leading computer vision models.

15s