Pinned Repositories
2nd-place-solution-for-VinBigData-Chest-X-ray-Abnormalities-Detection
Localization of thoracic abnormalities model based on VinBigData (top 1%)
365-Days-Computer-Vision-Learning-Linkedin-Post
365 Days Computer Vision Learning Linkedin Post
BBAVectors-Oriented-Object-Detection
[WACV2021] Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
Computer-Vision-Courses-in-Kaggle
캐글(Kaggle) Computer Vision 강좌 번역
cvpr2020-plant-pathology
kaggle-landmark-recognition-2020-1st-place
kaggle-seti-2021
sanBerryStream
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
l5kit
L5Kit - https://woven.toyota
piantic's Repositories
piantic/sanBerryStream
piantic/BBAVectors-Oriented-Object-Detection
[WACV2021] Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors
piantic/kaggle-landmark-recognition-2020-1st-place
piantic/3rd_place_to_Kaggle_Google_Landmark_Retrieval_2020
This is the source code of the 3rd place to [Kaggle Google Landmark Retrieval 2020]
piantic/AerialDetection
piantic/BirdCall
from https://www.kaggle.com/c/birdsong-recognition/overview
piantic/Birdcall-Identification-competition
2nd place in the Cornell Birdcall Identification competition
piantic/colabcode
Run VSCode (codeserver) on Google Colab or Kaggle Notebooks
piantic/Google-Landmark-Recognition-2020-3rd-Place-Solution
piantic/hands-on-time-series-analylsis-python
Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
piantic/instance_level_recognition
The 2nd place solution to the 2020 edition of the Google Landmark Recognition competition
piantic/K-fashion-baseline
piantic/kaggle-birdsong-recognition
1st Place solution to the Cornell Birdcall Identification competition.
piantic/kaggle-melanoma
2nd place solution for SIIM-OSIC Melanoma Classification
piantic/kaggle_birdcall_identification
Code for the Cornell Birdcall Identification competition
piantic/Kaggle_Lyft
piantic/l5kit
L5Kit - level5.lyft.com
piantic/LeafGAN
piantic/Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
piantic/ODA-Object-Detection-ttA
ODA is a test-time-augmentation(TTA) tool for 2D object detectors. For use in Kaggle competitions.
piantic/osic-pulmonary-fibrosis-progression
1st place solution of OSIC Pulmonary Fibrosis Progression competition at Kaggle
piantic/PyTorch-StudioGAN
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.
piantic/RSNA-Pulmonary-Embolism-Detection
kaggle - RSNA STR Pulmonary Embolism Detection
piantic/RSNA-STR-Pulmonary-Embolism-Detection
piantic/RSNA2020-Team-VinBDI-MedicalImaging
piantic/SIIM-ISIC-Melanoma-2020
A PyTorch code for the classification problem in SIIM-ISIC Melanoma 2020 Kaggle Competition
piantic/stone_checkpoints
piantic/StoneClassification
piantic/TransferDet
This is the repository containing team OverFeat's submission to CVPPP 2020's Wheat Detection Challenge (2/2245)
piantic/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > iOS