Dataset Versions
Versions
8.14 for MCX
v51
· 4 months ago
8.8 for MCX
v48
· 4 months ago
7.9 for MCX pure deep bule
v47
· 5 months ago
7.7 for MCX no zhufei data
v46
· 5 months ago
7.7 for MCX
v45
· 5 months ago
7.4 for MCX
v43
· 5 months ago
7.4 for yolov5
v42
· 5 months ago
5.29 clean data no mosico no blur
v41
· 7 months ago
5.29 clean data with mosico no blur
v40
· 7 months ago
5.29 clean data no mosico
v37
· 7 months ago
v51
8.14 for MCX
Generated on Aug 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.
Other Formats
Choose another format.
7807 Total Images
View All Images
Dataset Split
Train Set 94%
7329Images
Valid Set 6%
478Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 160x128
Augmentations
Outputs per training example: 3
Flip: Horizontal
Hue: Between -15° and +15°
Saturation: Between -5% and +5%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%