Dataset Versions
Versions
AugNewData_MCandNone_80X240
v13
· 6 months ago
AugNewData_MCandNone640
v12
· 7 months ago
AugNewData_MCandNone
v10
· 7 months ago
AugNewData_MC
v9
· 7 months ago
Augmented_withMCandNone
v8
· 8 months ago
Augmented_withMC
v7
· 8 months ago
Complete_DB1_Augmented
v6
· 8 months ago
Complete_DB1
v5
· 8 months ago
Right Arrow
v3
· 8 months ago
Arrow RYG
v1
· 8 months ago
v9
AugNewData_MC
Generated on May 4, 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.
3105 Total Images
View All Images
Dataset Split
Train Set 90%
2784Images
Valid Set 7%
214Images
Test Set 3%
107Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Rotation: Between -5° and +5°
Saturation: Between -10% and +10%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%