Chicken Detection and Tracking Object Detection Dataset and Pre-Trained Model by Chickens

Images

185 images

Explore Dataset

Background Information

This dataset was curated and annotated by Mohamed Traore from the Roboflow Team. A custom dataset composed of one class (chicken). The main objective is to identify chicken(s) and perform object-tracking on chicken(s) using Roboflow's "zero shot object tracking."

The original video is from Wendy Thomas (Description: "Definitive proof that the chicken crossed the road to get to the other side.")

The original custom dataset (v1) is composed of 106 images of chickens and their surrounding environment.

The dataset is available under the Public License.

Zero Shot Object Tracking

Using the video from Wendy Thomas (which was included in this dataset through the use of Roboflow's Video Ingestion tool

Example - Zero Shot Object Tracking

Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

Dataset Versions

Version 1 (v1) - 106 images

Preprocessing: Auto-Orient
Augmentations: No augmentations applied
Training Metrics: This version of the dataset was not trained

Version 2 (v2) - 106 images

Preprocessing: Auto-Orient and Resize (Stretch to 416x416)
Augmentations: No augmentations applied
Training Metrics: This version of the dataset was not trained

Version 3 (v3), "v1-augmented-COCO-transferLearning" - 254 images

Trained from the COCO Checkpoint in Public Models ("transfer learning") on Roboflow

3x image generation

Version 11 (v11), "v1-augmented-trainFromScratch" - 463 images

Trained from the Version 3 training checkpoint.

Modify Classes was applied to remap the "chickens" class to "rooster" (meaning "rooster" will show up for the bounding boxes when running inference).
3x image generation

Version 12 (v12) - 185 images

Preprocessing: Auto-Orient, Modify Classes (remap the "chickens" class to "rooster")
Augmentations: No augmentations applied
Training Metrics: This version of the dataset was not trained

Mohamed Traore - LinkedIn

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            chicken-detection-and-tracking_dataset,
                            title = { Chicken Detection and Tracking Dataset },
                            type = { Open Source Dataset },
                            author = { Chickens },
                            howpublished = { \url{ https://universe.roboflow.com/chickens/chicken-detection-and-tracking } },
                            url = { https://universe.roboflow.com/chickens/chicken-detection-and-tracking },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { dec },
                            note = { visited on 2024-04-26 },
                            }