We write your reusable computer vision tools. 💜
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Updated
Jun 8, 2024 - Python
We write your reusable computer vision tools. 💜
Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
Most popular metrics used to evaluate object detection algorithms.
Tools for converting Label Studio annotations into common dataset formats
Using Meta Segment Anything Model (SAM) to make an automatically annotated instance segmented dataset in PascalVOC format
Convert Supervisely to Pascal VOC
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.
Implementation of Weakly Supervised Deep Detection Networks using the latest version of PyTorch
A package to read and convert object detection datasets (COCO, YOLO, PascalVOC, LabelMe, CVAT, OpenImage, ...) and evaluate them with COCO and PascalVOC metrics.
Object Detection Dataset Tools. support dota、coco、yolo、pascal voc dataset convert and dota gap split
Text2ImageDescription retrieves relevant images from Pascal VOC 2012 dataset using OpenAI CLIP, based on text queries, and generates descriptions using quantized Mistral-7b model.
Free to use online tool for labelling photos. https://makesense.ai
Verify Data Annotations in Yolo and PASCAL VOC Format
Tutorial on Anchor-Free Object Detection
[AAAI 2024] Official code for "Hyp-OW: Exploiting Hierarchical Structure Learning with Hyperbolic Distance Enhances Open World Object Detection"
Tool used to generate anchor-boxes required for training YOLO networks
COCO形式のJSONファイルをPascal VOC形式のXMLファイルへ変換するスクリプト
A simple utility to crop from PNG or JPEG images bounding box annotations in PASCAL VOC formatted annotations. This is useful to extract images (and resize them) for classification testing.
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