Supermarket_Meat_Phase1 Dataset
Versions
supermarket_meat_phase3_augmented
v9
· 2 years ago
supermarket_meat_phase3
v8
· 2 years ago
supermarket_meat_phase2_augmented
v7
· 2 years ago
supermarket_meat_phase2
v6
· 2 years ago
supermarket_meat_phase1b_augmented
v5
· 2 years ago
supermaket_meat_phase1b
v4
· 2 years ago
supermarket_meat_phase1_augmentation_v1
v3
· 2 years ago
supermarket_meat_phase1_remapped_v1
v1
· 2 years ago
v5
supermarket_meat_phase1b_augmented
Generated on Sep 6, 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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857 Total Images
View All Images
Dataset Split
Train Set 88%
750Images
Valid Set 8%
71Images
Test Set 4%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 480x480
Modify Classes: 3 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Grayscale: Apply to 25% of images
Blur: Up to 8.25px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each