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Paperspace/DataAugmentationForObjectDetection

Data Augmentation For Object Detection observed · 2026-08-28

github.com/Paperspace/DataAugmentationForObjectDetection · homepage · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2914
  • days_rel: n/a
  • days_push: 2332
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1156 stars · 313 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python library implementing data augmentation transforms (flipping, scaling, rotation, shearing, translation, resizing) that adjust both images and bounding boxes for object detection training. It accompanies a Paperspace tutorial series and is written as Jupyter Notebook code with OpenCV and NumPy.

Use cases

  • augment images with bounding boxes for object detection training
  • flip images and adjust bounding box coordinates
  • rotate or shear images while keeping boxes valid
  • expand a small object detection dataset
  • learn how image augmentation works for detection tasks

When to avoid

  • you need a production-grade, actively maintained augmentation pipeline
  • you need segmentation masks, keypoints, or GPU-accelerated augmentation
  • you want broad transform coverage like albumentations

Facets

library · maturity maintenance

image-processing machine-learning data-science computer-vision deep-learning machine-learning python data-augmentation object-detection bounding-boxes opencv tutorial-code

6 sources

Member repositories

RepositoryRoleHealth v2
Paperspace/DataAugmentationForObjectDetectionmain32

For agents

markdown · JSON · MCP: product_card(name="Paperspace/DataAugmentationForObjectDetection")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem