Dataset Versions
Versions
VersionWithUnannotated
v12
· 21 days ago
Raw Pickup Data
v11
· 21 days ago
ConveyorBelt1
v10
· 22 days ago
Near Full Dataset with Augmentations
v9
· 3 months ago
Vise Images with Aug
v8
· 3 months ago
Addition of Vise Images No Grayscale
v7
· 3 months ago
2024-09-04 1:45am
v6
· 3 months ago
FullAnnotate_HistEq
v5
· 3 months ago
Unaugmented_SegDetect
v4
· 3 months ago
2024-08-15 9:53pm
v3
· 3 months ago
2024-08-12 9:40pm
v2
· 3 months ago
2024-08-12 7:55pm
v1
· 3 months ago
v10
ConveyorBelt1
Generated on Nov 5, 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.
735 Total Images
View All Images
Dataset Split
Train Set 88%
645Images
Valid Set 8%
61Images
Test Set 4%
29Images
Preprocessing
Auto-Orient: Applied
Static Crop: 8-75% Horizontal Region, 4-90% Vertical Region
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels