Chicken Detection and Tracking Computer Vision Project

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

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

                        @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 2024-11-21 },
                            }