Dataset Versions
Versions
2024-04-27 11:16pm
v12
· 7 months ago
model_mosca
v11
· a year ago
2024-01-14 11:47am
v10
· a year ago
2024-01-14 11:43am
v9
· a year ago
2024-01-14 11:42am
v8
· a year ago
2023-12-21 1:11pm
v4
· a year ago
2023-12-21 1:11pm
v3
· a year ago
2023-12-21 1:04pm
v2
· a year ago
2023-12-21 1:02pm
v1
· a year ago
v11
model_mosca
Generated on Jan 14, 2024
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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6606 Total Images
View All Images
Dataset Split
Train Set 84%
5538Images
Valid Set 16%
1068Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: mosca
Resize: Fill (with center crop) in 1000x1000
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 28% Maximum Zoom