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mude-objects/1 (latest)
Versions
2024-03-20 6:15am
v11
· a year ago
2024-03-20 5:38am
v10
· a year ago
2023-08-30 4:05pm
v9
· 2 years ago
2023-08-28 4:12am
v8
· 2 years ago
2023-08-22 5:28pm
v7
· 2 years ago
2023-08-22 5:27pm
v6
· 2 years ago
2023-08-22 5:07pm
v5
· 2 years ago
2023-08-14 5:01pm
v4
· 2 years ago
2023-08-14 4:52am
v3
· 2 years ago
2023-08-09 6:24pm
v2
· 2 years ago
2023-08-09 4:28pm
v1
· 2 years ago
v8
2023-08-28 4:12am
Generated on Aug 27, 2023
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.
Other Formats
Choose another format.
4355 Total Images
View All Images
Dataset Split
Train Set 87%
3810Images
Valid Set 8%
362Images
Test Set 4%
183Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Crop: 0% Minimum Zoom, 20% Maximum Zoom
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
