Soongja / basic-image-edaLinks
A simple image dataset EDA tool (CLI / Code)
☆55Updated 4 years ago
Alternatives and similar repositories for basic-image-eda
Users that are interested in basic-image-eda are comparing it to the libraries listed below
Sorting:
- ☆286Updated 2 years ago
- The 2nd place solution to the 2020 edition of the Google Landmark Recognition competition☆155Updated 4 years ago
- Kaggle Kuzushiji Recognition: 2nd place solution☆83Updated 5 years ago
- Kaggle Kuzushiji Recognition Solution☆96Updated 3 years ago
- ☆146Updated 4 years ago
- AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - …☆207Updated 4 years ago
- Faster and more precisely than Grad-CAM☆36Updated 5 years ago
- 9th Place Solution of Kaggle Global Wheat Detection☆144Updated 4 years ago
- Function to calculate mAP for set of detected boxes and annotated boxes.☆133Updated last year
- A Tensorflow implementation of the DETR object detection architecture.☆64Updated 4 years ago
- ☆16Updated 5 years ago
- https://www.kaggle.com/c/bengaliai-cv19/leaderboard☆12Updated last year
- https://www.kaggle.com/c/recursion-cellular-image-classification☆40Updated 2 years ago
- Helpers for detectron2☆40Updated 5 years ago
- Yuval and nosound models and write-up for Kaggle's competition "SIIM-ISIC Melanoma Classification"☆12Updated 5 years ago
- ☆27Updated 2 years ago
- The 4th Place Solution of SIIM-ACR Pneumothorax Segmentation☆65Updated 6 years ago
- 7th place solution☆22Updated 4 years ago
- This is the repository containing team OverFeat's submission to CVPPP 2020's Wheat Detection Challenge (2/2245)☆87Updated 2 years ago
- Unofficial Colab on how to train DETR, the intelligent object detector, with your own dataset. DETR = Detection Transformer☆39Updated 5 years ago
- ☆42Updated 4 years ago
- An implementation of GhostNet for Tensorflow 2.0+ (From the paper "GhostNet: More Features from Cheap Operations")☆38Updated 2 years ago
- Pytorch implementation of Robust Bi-Tempered Logistic Loss Based on Bregman Divergences☆62Updated 6 years ago
- Catalyst segmentation pipeline☆36Updated 5 years ago
- EfficientNet-GradCam Visualization☆80Updated 6 years ago
- Code for 1st place solution in Understanding Clouds from Satellite Images Challenge.☆214Updated 2 years ago
- Benchmark Benchmark Benchmark!☆51Updated 2 years ago
- Simple metric learning methods via tf.keras☆19Updated 5 years ago
- The service for the demonstration of transforms in Albumentations library☆106Updated last year
- Pytorch augmentation☆119Updated last year