Spaces:
Running on Zero
Running on Zero
| title: Anything Detector | |
| emoji: 🔍 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: "5.49.1" | |
| python_version: "3.10" | |
| app_file: app.py | |
| pinned: false | |
| startup_duration_timeout: 1h | |
| # 🔍 Anything Detector | |
| Custom object detection and counting without YOLO. | |
| ## Workflow | |
| 1. Define classes in `training/classes.txt`. | |
| 2. Upload training images. | |
| 3. Select an image. | |
| 4. Draw bounding boxes directly on the image with the mouse. | |
| 5. Choose a class for each box. | |
| 6. Save annotations. | |
| 7. Train RT-DETR. | |
| 8. Upload new images and detect/count objects. | |
| The annotation tool is implemented directly with HTML5 Canvas inside Gradio. It does not use the `gradio_image_annotation` package, avoiding the Node.js frontend dependency that can cause Space startup problems. | |
| ## Example classes | |
| ```text | |
| cornetto | |
| magnum | |
| correto | |
| cone | |
| cup | |
| ``` | |
| Or anything else: | |
| ```text | |
| car | |
| truck | |
| person | |
| dog | |
| cat | |
| ``` | |
| ## Important | |
| For production, attach persistent storage to the Space so the dataset and trained model survive rebuilds. | |
| ## Startup fix | |
| The annotation JavaScript is registered at the Gradio Blocks level rather than using the unsupported `js_on_load` argument on `gr.HTML`. | |
| ## GPU | |
| This Space is configured for Hugging Face ZeroGPU. GPU-dependent training and inference functions use `@spaces.GPU`; training runs synchronously inside the GPU allocation so a background thread cannot outlive the allocation. | |