The dataset viewer is not available for this split.
Error code: TooBigContentError
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:The task_categories "instance-segmentation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Project Nova Merged — Version 3
Exported from Roboflow workspace project-nova-sp0ia, project project-nova-merged-d97ey, version 3.
Dataset Info
| Split | Images |
|---|---|
| Train | 126,988 |
| Valid | 7,906 |
| Test | 7,829 |
| Total | 142,723 |
- Task: Instance Segmentation (COCO format)
- Image size: 640×640 (Fit with black edges)
- Preprocessing: Auto-orient, Adaptive Equalization contrast, filter null ≥100%
- Augmentations: Horizontal flip, ±20% brightness, 15° rotation, blur 1.5px, 2% noise, ±15% saturation, mosaic (×2 output versions)
Files
| File | Description |
|---|---|
data.zip |
Full dataset (images + annotations, COCO JSON format) |
train/_annotations.coco.json |
COCO annotations for the training split |
valid/_annotations.coco.json |
COCO annotations for the validation split |
test/_annotations.coco.json |
COCO annotations for the test split |
Usage
Download data.zip and unzip to access all images organized in train/, valid/, and test/ folders, each containing a _annotations.coco.json file.
- Downloads last month
- 62