DrivenData: Competition N+1 fish, N+2 fish

Problem description: www.drivendata...
Goals of competition:
1. Count fishes and mark frames with current fish number
2. Detect type of each fish
3. Find length of each fish
There was around 1000000 frames for train and test videos to process. To solve this problem we use set of Neural networks: UNET for object localization and ResNet50, DenseNet121, Inception v3 for object classification. Also XGBoost and some heuristic algorithms were used to find sequence of fishes in video.
Solution: github.com/ZFT...