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minecraft-fcos – AI Model by twoturtles | AlphaNeural AI
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minecraft-fcos
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pytorch
computer-vision
object-detection
fcos
minecraft
gaming
en
twoturtles/minecraft-mobs
mit
us
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Model card
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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
detection
