Dataset Versions
Versions
VersionWithUnannotated
v12
· 6 hours ago
Raw Pickup Data
v11
· 6 hours ago
ConveyorBelt1
v10
· 14 hours ago
Near Full Dataset with Augmentations
v9
· 2 months ago
Vise Images with Aug
v8
· 2 months ago
Addition of Vise Images No Grayscale
v7
· 2 months ago
2024-09-04 1:45am
v6
· 2 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
v8
Vise Images with Aug
Generated on Sep 4, 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
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260 Total Images
View All Images
Dataset Split
Train Set 92%
240Images
Valid Set 5%
13Images
Test Set 3%
7Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 5
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