Dataset Versions
Versions
robo-train2
v39
· 2 years ago
robo-train
v36
· 2 years ago
mr background-added-aug3x
v35
· 2 years ago
mr background-added
v34
· 2 years ago
mr aug3x
v32
· 2 years ago
test py
v30
· 2 years ago
aug3-RFES
v6
· 2 years ago
no-aug2
v3
· 2 years ago
no-augmentation
v2
· 2 years ago
label assist
v1
· 2 years ago
v39
robo-train2
Generated on Mar 22, 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.
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7725 Total Images
View All Images
Dataset Split
Train Set 94%
7232Images
Valid Set 5%
409Images
Test Set 1%
84Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -30° and +30°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -10% and +10%
Blur: Up to 2px