Mau 1 Dataset
Versions
2023-12-11 9:04pm
v13
· 9 months ago
2023-12-10 1:43pm
v12
· 9 months ago
2023-12-10 1:38pm
v11
· 9 months ago
2023-12-10 11:03am
v10
· 9 months ago
2023-12-10 10:29am
v9
· 9 months ago
2023-12-10 10:13am
v8
· 9 months ago
2023-11-28 12:19am
v7
· 10 months ago
2023-11-27 8:55pm
v6
· 10 months ago
2023-11-27 7:16pm
v5
· 10 months ago
2023-11-27 7:10pm
v4
· 10 months ago
2023-10-20 10:34pm
v3
· a year ago
2023-10-20 1:52pm
v2
· a year ago
2023-10-20 9:43am
v1
· a year ago
v8
2023-12-10 10:13am
Generated on Dec 10, 2023
Popular Download Formats
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.
Other Formats
Choose another format.
1916 Total Images
View All Images
Dataset Split
Train Set 88%
1695Images
Valid Set 10%
191Images
Test Set 2%
30Images
Preprocessing
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 33% of images to contain annotations.
Augmentations
Outputs per training example: 3
Blur: Up to 2.5px
Mosaic: Applied
Bounding Box: Brightness: Between -25% and +25%