Groceries Image Dataset
Versions
try 1
v30
Jun 16, 2022
polygon 699 f-r-c 70-20-10 lepi sendiri
v29
Jun 14, 2022
polygon 699 f-r 70-20-10 - comp rumah
v28
Jun 14, 2022
polygon 699 f 70-20-10 - nabila
v27
Jun 14, 2022
polygon 699 f-r-c-b 70-20-10 bilal-s lepi
v26
Jun 14, 2022
polygon 699 split 70 10 20 - azhari lepi
v23
May 22, 2022
699 flip rotate crop blut- split 70 30 20
v22
May 16, 2022
699 flip rotate crop- split 70 30 20
v21
May 16, 2022
699 fliprotate - split 70 30 20
v20
May 16, 2022
699 flip- split 70 30 20
v19
May 16, 2022
699 tanpa diapa2in split 70 30 20
v18
May 16, 2022
fliprotcropblur 303 split 90 10
v14
May 16, 2022
flip rotate crop 303 split 90 10
v13
May 16, 2022
flip rotate 303 split 90 10
v12
May 16, 2022
flip 303 90 10 split
v11
May 16, 2022
303 split 90 10
v10
May 16, 2022
fliprotatecropblur split 70 30 20
v9
May 16, 2022
fliprotate-crop 303 split 70 30 20
v8
May 16, 2022
flip- rotate 303 split 70 30 20
v7
May 16, 2022
flip 303- split 70 30 20
v6
May 16, 2022
303 tanpa diapa2in split 70 30 20
v5
May 16, 2022
739 images
v4
Apr 11, 2022
461 images
v3
Apr 10, 2022
143 images
v2
Apr 10, 2022
2022-04-07 5:54am
v1
Apr 6, 2022
v23
polygon 699 split 70 10 20 - azhari lepi
Generated on May 22, 2022
Popular Download Formats
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.
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699 Total Images
View All Images
Dataset Split
Train Set 79%
550Images
Valid Set 12%
82Images
Test Set 10%
67Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 4 remapped, 0 dropped
Augmentations
No augmentations were applied.
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