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
· 2 years ago
v15
roboflow_test-ACCURATEmodel
Generated on May 4, 2022
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YOLOv9
TXT annotations and YAML config used with YOLOv9.
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TXT annotations and YAML config used with YOLOv5.
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TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
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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.
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1488 Total Images
View All ImagesDataset Split
Train Set 87%
1296Images
Valid Set 8%
120Images
Test Set 5%
72Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 1 dropped
Augmentations
Outputs per training example: 3
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