Downloads · 30 days
0
minecraft-fcos
twoturtles/minecraft-fcos
minecraft-fcos is a object detection model from twoturtles. Use it when you need objects located in an image. It is set up for pytorch. The card lists the license as mit.
Detects 9 Minecraft entities (chicken, cow, creeper, enderman, pig, sheep, skeleton, spider, zombie) using FCOS (Fully Convolutional One-Stage) object detection.
Access
Public
Updated Feb 9, 2026
Repo size
198 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt198 MB · 100%
At a glance
- Task
- Object Detection
- Library
- pytorch
- License
- mit
- Access
- Public
- Created
- Jan 31, 2026
- Updated
- Feb 9, 2026
- SHA
- 0d14342c
Datasets
Model card
From the Hugging Face model README
FCOS Minecraft Mob Detector
Detects 9 Minecraft entities (chicken, cow, creeper, enderman, pig, sheep, skeleton, spider, zombie) using FCOS (Fully Convolutional One-Stage) object detection.
Code
For training details and usage see minecraft-fcos
The code allows you to run the model over Minecraft in realtime.
Model Details
- Architecture: FCOS with ResNet50-FPN backbone
- Input: 640x640 RGB images
- Output: Bounding boxes and class labels for 9 entity types
- Training: Transfer learning on FCOS-pretrained weights
- Framework: PyTorch + torchvision
Performance
| Metric | Value |
|---|---|
| mAP | 0.595 |
| mAP_50 | 0.84 |
Sample Detection
- Task
- Object Detection
- Library
- pytorch
- License
- mit
- Languages
- en
- Created
- Jan 31, 2026
- Updated
- Feb 9, 2026