Dataset Versions
Versions
Niru-s version 4.0
v40
· 2 years ago
Omkar 6.0 -5.0 not working--
v39
· 2 years ago
Omkar 5.0
v38
· 2 years ago
Lenya 3.0
v37
· 2 years ago
Ronen 5.0
v36
· 2 years ago
Trevor
v35
· 2 years ago
Ronen 4.0
v34
· 2 years ago
2022-07-09 4:59pm
v33
· 2 years ago
Niru-s version 3.0
v30
· 2 years ago
Omkar 3.0
v29
· 2 years ago
2022-07-08 2:14pm
v28
· 2 years ago
Trevor v4
v27
· 2 years ago
Ronen
v26
· 2 years ago
Trevor v3
v25
· 2 years ago
v25
Trevor v3
Generated on Jul 7, 2022
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YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
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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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2831 Total Images
View All Images
Dataset Split
Train Set 87%
2475Images
Valid Set 8%
221Images
Test Set 5%
135Images
Preprocessing
Auto-Orient: Applied
Modify Classes: 6 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 10% of pixels