Pig detection final Dataset
Versions
2022-10-10 10:51pm
v10
· 2 years ago
2022-10-10 9:55pm
v9
· 2 years ago
2022-10-10 9:43pm
v8
· 2 years ago
2022-10-10 8:04pm
v7
· 2 years ago
2022-10-10 5:32pm
v6
· 2 years ago
2022-10-10 9:05am
v5
· 2 years ago
2022-10-10 5:33am
v4
· 2 years ago
2022-10-10 5:19am
v3
· 2 years ago
2022-10-08 12:37am
v2
· 2 years ago
2022-10-08 12:30am
v1
· 2 years ago
v10
2022-10-10 10:51pm
Generated on Oct 10, 2022
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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2244 Total Images
View All Images
Dataset Split
Train Set 96%
2163Images
Valid Set 4%
80Images
Test Set 0%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Brightness: Between -15% and +15%
Cutout: 5 boxes with 10% size each
Mosaic: Applied