Dataset Versions
Versions
2024-10-08 4:40am
v41
· a month ago
2024-10-01 10:59am
v40
· 2 months ago
2024-10-01 10:57am
v39
· 2 months ago
2024-09-11 4:31am
v37
· 2 months ago
2024-09-05 5:30am
v36
· 2 months ago
2024-09-04 4:55am
v35
· 2 months ago
2024-09-03 9:36am
v34
· 2 months ago
2024-09-02 4:30am
v33
· 3 months ago
2024-08-30 6:57am
v32
· 3 months ago
2024-08-29 5:41am
v31
· 3 months ago
yolov8_empty_products
v30
· 3 months ago
nykaa_2
v29
· 3 months ago
nykaa
v28
· 3 months ago
2024-08-22 2:59am
v27
· 3 months ago
2024-08-15 1:51pm
v26
· 3 months ago
product - empty only
v25
· 4 months ago
Augmentation-setC
v24
· 4 months ago
70-30 split
v23
· 4 months ago
Augmentation-setB
v22
· 4 months ago
60-40 split
v21
· 4 months ago
Augmentation-setA
v19
· 4 months ago
80-20 split
v18
· 4 months ago
2024-07-24 10:25am
v17
· 4 months ago
yolov5l
v16
· 4 months ago
2024-07-23 10:29am
v14
· 4 months ago
with empty class v8-no polygons-
v13
· 4 months ago
yolov8s cc
v12
· 4 months ago
2024-07-22 8:05am
v11
· 4 months ago
with empty class
v10
· 4 months ago
classes changed
v9
· 4 months ago
yolov8 220 images
v7
· 4 months ago
2024-07-18 12:36pm
v6
· 4 months ago
2024-07-18 12:33pm
v5
· 4 months ago
2024-07-18 12:29pm
v4
· 4 months ago
2024-07-12 9:31am
v2
· 4 months ago
2024-07-09 6:31am
v1
· 4 months ago
v24
Augmentation-setC
Generated on Jul 29, 2024
Popular Download Formats
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.
Other Formats
Choose another format.
220 Total Images
View All Images
Dataset Split
Train Set 87%
192Images
Valid Set 13%
28Images
Test Set %
0Images
Preprocessing
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 9% of images
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 0.5% of pixels
Mosaic: Applied