datitran/raccoon_dataset resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1268 stars · 949 forks observed · 2026-08-28

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

A small open dataset of 200 labeled raccoon images (160 train / 40 validation) with PASCAL VOC XML annotations, created to train an object detector with TensorFlow's Object Detection API. It also includes helper scripts and notebooks for converting annotations to CSV and generating TFRecord files.

Use cases

• train an object detection model on raccoon images
• get a small labeled dataset for testing TensorFlow Object Detection API
• convert PASCAL VOC XML annotations to CSV
• generate TFRecord files for object detection training
• learn how to build a custom object detector from scratch
• practice drawing bounding boxes on annotated images

When to choose

• you need a tiny, simple dataset to prototype object detection pipelines
• you're following a tutorial on TensorFlow Object Detection API
• you want example PASCAL VOC annotations and conversion scripts

When to avoid

• you need a large or diverse dataset for production-grade detection
• you need classes beyond raccoons
• you work with frameworks other than TensorFlow and don't want to convert formats

Facets

dataset · maturity maintenance

machine-learning image-processing computer-vision machine-learning computer-vision image-processing python object-detection tensorflow pascal-voc raccoon-detector image-annotation tutorial

Member repositories

For agents

markdown · JSON · MCP: product_card(name="datitran/raccoon_dataset")