SimpleSymbols Dataset
Versions
960-accurate
v16
· 2 years ago
roboflow_test-ACCURATEmodel
v15
· 2 years ago
roboflow_test-FASTmodel
v14
· 2 years ago
test-tiling-resized-640
v13
· 2 years ago
test-tiling
v12
· 2 years ago
synthetic-resized-960
v11
· 2 years ago
synthetic-scenes-null
v2
· 2 years ago
synthetic-and-null
v1
· 3 years ago
v11
synthetic-resized-960
Generated on Apr 29, 2022
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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588 Total Images
View All Images
Dataset Split
Train Set 92%
540Images
Valid Set 5%
30Images
Test Set 3%
18Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 960x960
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
Blur: Up to 3px
Noise: Up to 2% of pixels
Bounding Box: Brightness: Between -10% and +10%
Bounding Box: Blur: Up to 0.5px