Tips & Trick & Best Practices in training (not only) object detection models

:tada: Here is Part 2- Summary of 10 summaries on:

Tips & Trick & Best Practices in training (not only) object detection models.

:gift: Summary of summaries:

1- Training Object Detection Models Tips & Tricks

2- Pro Tip to fast track your object detection training

3- Detecting small object detection using SAHI and IceVision

4- How to increase your Small Object Detection Average Precision APs

5- Pro Tip: Increase the number of detections per image if your image has more than 100 bounding boxes.

6- How to create a robustness evaluation dataset?

7- A Survey of Self-Supervised and Few-Shot Object Detection (FSOD).

8- A Comparative Review of Recent Few-Shot Object Detection Algorithms

9- Multi-Task Self-Training (MuST) for Learning General Representations

10- Using IceVision in Kaggle Competitions

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