medicineRecognition Dataset
Versions
2022-08-27 9:47pm
v15
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2022-08-04 6:41pm
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2022-08-04 12:31pm
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2022-08-02 7:23pm
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2022-08-02 4:18pm
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2022-08-02 4:03pm
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2022-08-02 3:53pm
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2022-08-02 3:48pm
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v4
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2022-08-02 3:35pm
v2
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v1
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v4
2022-08-02 3:45pm
Generated on Aug 2, 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 YOLOv8.
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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.
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.
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49 Total Images
View All Images
Dataset Split
Train Set 86%
42Images
Valid Set 8%
4Images
Test Set 6%
3Images
Preprocessing
Isolate Objects: Applied
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -42° and +42°
Saturation: Between -39% and +39%