Finetree 3.0: Training Data for Object Detection with Bounding Boxes

Finetree 3.0 is a dataset uploaded to Hugging Face by author asafd60 on 2026-04-04. The title suggests it is likely a training set for object detection, containing images with bounding box annotations and numerical facts. The specific content, scale, and license require verification after download.

Use Cases

• Fine-tuning a pre-trained object detection model like YOLO or Faster R-CNN (inferred from domain, verify after download)
• Benchmarking model performance on a specific visual domain (inferred from domain, verify after download)
• Training a model to localize and count objects within images (inferred from domain, verify after download)

Strengths

• Published on the Hugging Face platform, facilitating integration with common ML workflows.
• Uploaded by a specific author (asafd60), providing a point of contact.

Limitations

• Metadata is minimal; actual content, column definitions, and data quality require verification after download.
• Dataset size, row count, file formats, and license are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

huggingface

Collection Method

Uploaded by user asafd60; original collection method is unknown.

Time Range

null

Freshness

Last updated 2026 04 04 20 53 23; freshness should be verified.

Geography

null