Dataset Versions
Versions
2024-04-10 9:30pm
v32
· 8 months ago
newly_updated_data_2
v31
· 8 months ago
2024-04-10 2:49pm
v28
· 8 months ago
2024-04-10 1:52pm
v27
· 8 months ago
2024-04-10 9:34am
v25
· 8 months ago
new_data_224_val_more_2
v24
· 8 months ago
new_data_224_val_more
v23
· 8 months ago
2
v22
· 8 months ago
1
v21
· 8 months ago
v24
new_data_224_val_more_2
Generated on Apr 9, 2024
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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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4470 Total Images
View All ImagesDataset Split
Train Set 83%
3720Images
Valid Set 16%
700Images
Test Set 1%
50Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%